2572 results about "Binary image" patented technology

A video game distribution network for use in airlines, trains, hotels, cruise ships, set top boxes, cable television systems, satellite and other wireless systems or other communications systems, distributes special purpose game binary image files to general purpose computing/display devices. Software emulators running on the general purpose computing/display devices model the game source platform and interpret and/or compile the game files to provide interactive video game play. Software emulators for emulating a handheld video game platform such as GAME BOY®, GAME BOY COLOR® and/or GAME BOY ADVANCE® on a low-capability target platform (e.g., a seat-back display for airline or train use, a personal digital assistant, a cell phone) may provide any number of features and optimizations to provide high quality graphics and sound that nearly duplicates the game playing experience on the native platform.

An image processing apparatus comprises a unit acquiring a multi-level image as a processing-object image, a unit acquiring a binary image which is created based on the multi-level image, a unit extracting a specific attribute region which is a region with a specific attribute from the multi-level image, a unit changing pixels other than the specific attribute region in the binary image to white pixels, a unit creating a multi-level image in which the pixels of the specific attribute region are changed by a background color, a unit determining a color of the specific attribute region, a unit creating an image of the specific attribute region having the color determined, an image coding unit carrying out compression coding of two or more images which are created respectively, and a unit creating an integrated file in which the coded images are integrated.

Background images are removed and only the desired payment information is extracted from a grayscale image of a check or similar financial instrument. A density distribution improvement process applied to grayscale raw image data 40 acquired by scanning a check corrects the density distribution of the raw image data 40 to separate the density range of the desired payment information from the density range of the background image. Image sharpening or contrast enhancement can be used as the density distribution improvement method. A threshold level 44 for clearly separating the payment information from the background image is then calculated from the characteristics of the density distribution of the grayscale improved image data 42 acquired by the density distribution improvement process. Histograms of the density distributions are used to determine the characteristics of the density distribution. The improved image data 42 is then converted to binary image data 46 using the threshold level 44. Most of the background image is white and most of the desired payment information is black in the binary image data 46.

In a method and an apparatus for pattern matching encoding disclosed a font bit map library is provided separately from a temporary updating library, in which temporary bit map pattern data capable of being updated according to a character pattern cut out from input binary image data is stored. In the font bit map library is stored font bit map library pattern data of an input character pattern font or a font designated by the user. A pattern matching process on the character pattern, is executed by comparing the character pattern with temporary bit map pattern data and font bit map pattern data. The character pattern is newly registered in the temporary updating library, when it is judged as being matched with only the temporary bit map pattern or as being matched with neither of the temporary bit map pattern or the font bit map pattern. It is possible to improve data compressibility without sacrifice in image quality.

A vertical black line removal system (VBLR) is adapted to remove unwanted vertical lines produced on scanned document images by dust or other particles on the imaging apparatus. The VBLR system, placed in a document scanner after the binarization equipment, creates a stored histogram table including the difference values of “1” or “0” for the first and second image data. A vertical black line search processor compares each histogram value in the histogram table with a predetermined threshold value such that when the histogram value is greater than the threshold value the histogram value and the image address indicating the location of defect are stored in memory. An image readout then creates a corrected image by comparing each original image address with the stored defect image addresses so that when there is not a match with defect image addresses the first binary image value is output, and when the addresses are equal the difference value is analyzed for a “1” or “0” to determine when the first or second image data is to be output.

The invention relates to a detection method for vehicle license plate real-time positioning character segmentation in the technical field of video monitoring, which comprises the following steps of: obtaining a video frame from image acquisition equipment; carrying out image preprocessing; increasing a signal-to-noise ratio; carrying out grey scale transformation; computing a threshold value by adopting an Otsu binarization method and converting a vehicle image into a binary image; firstly carrying out closed operation by using a structural element with the size of length pixels, separating a communicated region at a fine position and smoothing burrs appearing on the edge of the region; carrying out contour detection; and carrying out license plate region accurate positioning: accurately segmenting out each character. The invention has lower requirements for image color, a large amount of system memory resources of a computer can not occupied, the operational speed is quickened after an input image is converted into a grey-scale image, the accurate position of each character can be rapidly found, and each character is segmented out by applying an image shearing method.

This invention has as its object to provide an image processing apparatus and method which can efficiently compress an image while maintaining high image quality, and a storage medium for implementing the method. To accomplish this, an apparatus has a text area detector (101) for extracting a text area from multi-valued image data, and generating text area coordinate data (109) as position data of the text area, a binarization unit (102) for generating binary image data (108) by binarizing multi-valued image data of the text area, a color computation unit (103) for generating text color data (110) by computing a representative color of the text area, a text paint unit (104) for generating non-text multi-valued image data A by converting multi-valued image data of the text area using multi-valued image data of an area other than text, a reduction unit (105) for generating reduced non-text multi-valued image data by lowering the resolution of the non-text multi-valued image data, a JPEG compression unit (106) for compressing the non-text multi-valued image data by JPEG, and an MMR compression unit for compressing the binary image data of the text area by MMR.

The invention provides a finger-vein image quality evaluation method and system based on a convolutional neural network. The method includes: labeling the quality of finger-vein gray images, building a training sample set, and using the training sample set to train the convolutional neural network; inputting one optional gray image and a binary image into trained models, selecting the output of second full connection layers in two convolutional neural network models as the depth feature vectors of the input gray image and the binary image; connecting the two depth feature vectors to form a united expression vector, inputting the united expression vector into a support vector machine for training, and using a probability support vector machine to calculate the quality of a predicted finger-vein image. By the evaluation method and system, finger-vein image quality evaluation precision can be increased to a large extent, and the identification performance of a certification system can be improved.

Systems and methods for encoding and decoding document images are disclosed. Document images are segmented into multiple layers according to a mask. The multiple layers are non-binary. The respective layers can then be processed and compressed separately in order to achieve better compression of the document image overall. A mask is generated from a document image. The mask is generated so as to reduce an estimate of compression for the combined size of the mask and multiple layers of the document image. The mask is then employed to segment the document image into the multiple layers. The mask determines or allocates pixels of the document image into respective layers. The mask and the multiple layers are processed and encoded separately so as to improve compression of the document image overall and to improve the speed of so doing. The multiple layers are non-binary images and can, for example, comprise a foreground image and a background image.

The invention provides a vehicle line walking method and system based on machine vision. The line walking method comprises the following steps: an image acquisition module acquires an RGB color image of a road surface; an image processing module converts the RGB color image into a grayscale image; a binarization module obtains a binarization image to separate a lane line; an edge detection module obtains an edge image containing an inner edge and an outer edge of the lane line; a processor acquires parameters of the lane line to establish a lane line model, acquires lane position data of a vehicle in a world coordinate system through inversely perspective conversion, and determines a driving mode of the vehicle according to road surface image information; parameter adjustment of a steering engine and a motor can be realized by using acquired vehicle corner parameters and distance parameters, adopting the driving mode of the vehicle, and utilizing a sectional adaptive control strategy so as to realize real-time control of driving directions and driving speed of the vehicle. According to the method and system, provided by the invention, the line walking speed in the driving process of the vehicle can be increased, the line walking can be completed within the time of 10 milliseconds, and the stability in the driving process of the vehicle is strong.

The invention discloses an aggregate digital image assessment system which comprises a motion control module, a computer module, an image acquisition module and a power supply module, an image preprocessing module, an aggregate identity module, an aggregate analysis and evaluation module and a data storage module. The assessment method includes that: a computer sends an instruction to a motion controller for controlling the linear sliding of a laser scanner; a CCD camera takes a picture of aggregate on a scanning board and transforms the image to a digital image; the digital image is transformed to a grey-scale map, And an edge detecting operator is utilized for carrying out image enhancement and restoration to the transformed grey-scale map so as to transform the grey-scale map to a binary image; the aggregate in the binary image is projected and the image of the aggregate in the binary image is detected and separated; IPP image processing and analysis software is used for calculating the three-dimensional coordinate of the surface of the aggregate; quantitative assessment category is carried out to the characteristics of the aggregate to obtain the gradation, the shape, the corner angle and the texture of the aggregate; the computer stores experimental data as well as analysis and assessment results. The aggregate digital image assessment system of the invention can be used for analysis and assessment of the aggregate.

A method and apparatus for processing gray level image data. Gray level image data is subjected to plural separate halftone screen processing to form plural separate halftone processed screen gray level image data. The current pixel is also analyzed for contrast index. In response to analysis of the contrast index blending coefficients for processing of the halftone screen modified image data is made. The respective halftone outputs of the screen processings are multiplied by the respective blending coefficient. The resulting blended halftone gray value of the current pixel as well as neighboring pixels are then subjected to a threshold criterion test to determine if this represents a substantially binary image file such as might occur in a saturated text image file. The blended halftone gray value data for the current pixel is subjected to gray level edge enhancement processing to replace certain binary pixels adjacent an edge to reduce anti-aliasing effects. A signal resulting from the threshold criterion test is used to determine whether there is output to the printer or display of an edge enhanced version of the current blended halftone pixel or a pixel value representing the blended halftone pixel.

The invention belongs to the image processing technique field and particularly relates to the license plate identifying technique and further to a license plate locating method under a complex background. Firstly, a license plate original image of RBG format is converted into HSI format to realize the separation between color information and brightness information; then the obtained saturation component chart and brightness component chart are binarized; then pixels of the original image are classified according to the color information of the license plate and a license plate locating template binary image can be obtained according to the classification results and a mathematical morphology computing is adopted to remove noise from the license plate locating template binary image; then a region growing method is adopted to extract each communication zone of the license plate locating template binary image and an inspection to the license plate size is also carried out, and the communication zones passing the size inspection become candidate license plate zones; the Hough transformation is adopted to correct inclined license plates and then license plate vertical texture characteristics are adopted to further inspect each candidate license plate zone so as to remove the fake candidate zones. The adoption of the invention can effectively enhance the universality and the locating accuracy of the system.

The present invention provides a reconstruction method of human posture based on the geometrical skeleton, including:determining human skeleton pattern; obtaining 3D human skeleton pattern, pre-processing image; obtaining bianry image of separation of the background and the human; acquiring human geometrical skeleton; obtaining linear geometrical skeleton; labelling articulare of the start frame; bonding the manual labelling articulare on the geometrical skeleton, shortening the initial error; tracing the articulare by light stream method; obtaining the new position by the light stream method; processing error judgement and position correction to the new articulare obtained by the trace with the combined geometrical skeleton; processing line correction calculated by the light stream method; re-constructing the human posture; converting the two-dimensinal coordinate of the articulare to the 3D skeleton pattern by the parameter evaluating method of the proportion orthogonal projection model. The invention improves accuracy of the posture reconstruction, obtaining a high processing efficiency, capable of processing stable and effect human posture reconstruction in the intelligent video monitor system.

In various exemplary embodiments, systems include a segmentor to segment text binary image data to a first plane. A subtractor subtracts text binary image from binary image data to generate a non-text binary image data in a second plane. A converter converts non-text binary image data in the second plane into non-text gray scale image data in the second plane. A first compressor compresses the text gray scale image data in the first plane. A second compressor compresses the non-text gray scale mage in the second plane.

The invention discloses a three-dimensional portrait shooting system and realizing method, which comprises the following steps: using common camera to shoot positive and lateral photos of portrait; adopting computer visual algorism to acquire three-dimensional geometrical model of head; projecting the photo as texture on the three-dimensional mould according to the projecting relationship of photo and geometrical model; obtaining the three-dimensional portrait model with photo-grade true sense; using spatial semi-tone method to modulate the space of texture grey image continuously; printing binary image approaching three-dimensional image on the visual observing effect in the artificial crystal through laser carving machine; forming the three-dimensional entity head portrait with true sense.

The invention discloses a multi-character characteristic fused license plate positioning method. The method comprises the following steps of: (1) performing color image graying processing on an original vehicle image, storing as a gray image, and then performing binarization processing on the gray image to obtain a binary image of the vehicle image; (2) extracting a license plate candidate region; (3) removing the candidate region which does not meet a license plate region condition through the color characteristic and texture characteristic of the license plate candidate region to obtain a license plate region; and (4) accurately positioning a license plate, and obtaining upper, lower, left and right boundaries of a character region in the license plate by using the gray skip characteristic of characters of the license plate region. In the method, the character characteristic of the license plate region is fully utilized, the defect that the conventional license plate positioning method more depends on the shape characteristic and edge characteristic of a license plate frame is overcome, extremely high positioning accuracy is also guaranteed under the condition of a blurry license plate frame, and a division result more meets an observation result of human eyes. The method is intuitive, simple and fast and has better instantaneity.

The invention relates to a datum point positioning method based on machine vision, which belongs to the field of image processing and aims to solve the problems of poor datum point positioning accuracy and high cost of surface mounting equipment. The method comprises the following steps that a vision obtaining device is adjusted to obtain a datum point regional image; the image is preprocessed, and a threshold is set to establish a binary image; connected region labeling is performed on the binary image, so as to find out the largest connected region as a target region of a datum point; Canny edge detection is performed on an original image, so as to preliminarily determine coarse edge points; Hough transformation processing is performed on the coarse edge points, and an optimal existing circle in the image is found out; the distance between each edge point and the center of the circle is calculated; the position of a sub-pixel level of the edge point is obtained; and circular least-square fit is performed on the edge point in the position of the sub-pixel level, and then an accurate center and radius of the datum point are obtained and sent to a control system. The datum point positioning method can be widely applied to accurate positioning of the datum point.

A method for fast locating a decipherable pattern in an input image, which is characterized in utilizing an overly downscaled binary image to not only reduce computation time but also facilitate extraction of skeletons for fast and accurately locating pattern, is disclosed. First, a pre-process is applied to an input image to acquire a binary image downscaled n times, from which at least one skeleton corresponding to a decipherable pattern is extracted. Coordinate values of at least one pixel of each skeleton are respectively enlarged n^1/2 times and used as the central points on the original image plane for establishing a plurality of detecting blocks with the identical size. Subsequently, a grading mechanism is employed to determine the corresponding detecting blocks of the decipherable pattern.

The invention is directed to real-time processing of video data. In some examples at least one image of the video data is processed utilizing reference data comprising reference image data of background within a region of interest and clutter image data indicative thereof, to determine a pixel deviation level of each pixel in the at least one image and generate pixel-deviation image data indicative thereof. The pixel-deviation image data is processed to enhance its tonal pixel distribution and generating enhanced image data, which is processed to determine a threshold level based on the tonal pixel distribution. A binary image map is then generated using the determined threshold level, the binary image map being indicative of the background and foreground components of the at least one image.

In order to prevent double-shadow and cavity phenomena from occurring in a target and rapidly obtain a complete outline of a moving target in a video sequence, the invention provides a moving object rapid detection method based on the video sequence. The method comprises the steps of denoising the video image sequence through a gaussian filter and solving an inter-frame differential image of any three frames of filtered adjacent video images through differential operation; carrying out iteration update on an initial background image through utilization of an inter-frame differential binary image and extracting a background image corresponding to a current frame; reestablishing a reference image corresponding to the current frame of image according to an inter-frame differential result of the three frames of adjacent video frames, thereby obtaining an inter-frame differential target detection image, and obtaining a moving target outline difference value image of the current frame through a background differential method; and combining target images extracted by a three-inter-frame differential method and a background differential method through an OR operation, and outputting a final moving target image. According to the method, noise interference can be effectively removed and the complete moving target can be detected rapidly and accurately.

The invention provides an image segmentation method based on a watershed algorithm and a morphological marker. The method comprises the steps that median filtering is carried out on a gray level image to obtain a filtered image; an OTSU method is carried out on the filtered image to obtain a binary image; the binary image is processed through a morphological algorithm based on reconstruction to obtain a characteristic marked image; the characteristic marked image is transformed through the watershed algorithm to obtain a segmented image. According to the image segmentation method, the OTSU method and median filtering are utilized for filtering out impurities and noisy points in the image, the image is adopted as the primary mark source of the watershed algorithm, and the interference of noise is effectively eliminated; a morphological operation method is adopted, the information of an effective area cannot be lost, meanwhile, certain fuzzy areas or connected areas can be separated, and the integrity and consistency of image segmentation are guaranteed. Connected domain calculation is combined, the invalid target and information of non-noisy points can be removed, the marker of the watershed algorithm is precisely located, and the over-segmentation phenomenon is eliminated.

A generator for generating an update package for efficiently updating the software and/or firmware in an electronic device, and a method for operating such a generator are disclosed. An embodiment of the disclosed invention may produce a compact update package comprising a set of instructions that may be executed within the electronic device to produce an updated binary image of the software and/or firmware. Pre-processing of the existing or new binary image may result in a further reduction in the size of the update package, shortening the time needed to transmit the update package to the electronic device.

A stereoscopic display which enables plural persons to simultaneously observe stereoscopic images includes a color liquid crystal plate for displaying stereo-pairs composed of left and right eye perspectives in time-interlaced manner, a monochrome TV display disposed behind the color liquid crystal plate for displaying binary and inverted binary images of half face of each observer so as to be synchronized with the time-interlaced display of the color liquid crystal plate, and a large convex lens disposed between the color liquid crystal plate and the monochrome TV display so as to focus the observers' optical images on the screen of the monochrome TV display in geometrical agreement with the observers' face images displayed thereby. And an infrared TV camera is disposed so as to take observers' images by way of the large convex lens and input observers' face images to the monochrome TV display.

The invention is suitable for the field of detection, and provides a defect detection method and a system. The method comprises the following steps of: acquiring the image of equipment to be detected, and preprocessing the acquired image; performing difference operation on a pre-stored grey scale template and the preprocessed acquired image to obtain a grey scale template difference image; performing binary processing on the grey scale template difference image to obtain a difference binary image; performing difference operation on a pre-stored binary template and the difference binary image to obtain a binary template difference image; and performing profile search on the binary template difference image, and judging whether the equipment to be detected has any defect according to a result of the profile search. Due to the adoption of the detect detection method based on dual template matching, image edge interference caused by light ray variation is reduced; and in particular for detection equipment with a complex surface, a false drop rate can be lowered effectively, detection accuracy is increased, and high practicability is achieved.

A method for level three feature extraction from a print image extracts features associated with a selected ridge segment using a gray-level image under the guidance of at least one binary image. The level three features are a sequence of vectors each corresponding to a different level three characteristic and each representing a sequence of values at selected points on a print image. The level three features are stored and used for level three matching of two prints. During the matching stage, ridge segments are correlated against each other by shifting or a dynamic programming method to determine a measure of similarity between the print images.

The invention introduces many-to-many mediated commercial electronic publishing, warehousing, marketing, and distribution of all types of digital content and electronic files. The system and method enables independent publishers to make available their authorial works to anyone with access to a machine capable of interpreting and displaying digital data, which includes an input means for the user to communicate with the system. The system further provides for instantaneous delivery of the purchased works. The system allows for independent authors to upload digital documents (and/or any other binary image) to a searchable database, define the terms of sale and descriptive information, protect document end-use with digital rights management, and retain all intellectual property rights and control at all times. The system also offers both publishers and purchasers the ability to conduct business without the need for individual human contact or disclosure of purchaser or seller contact information.

An input image that includes an eye is divided into a plurality of blocks, and a mosaic image in which each of the blocks has a density value is produced. Among all the blocks, one having a small distance from a center point of the mosaic image and having a small density value is determined to be a block including the center of the pupil of the eye. Then, based on the determined block, a center position of the pupil in the input image is derived. Based on the density value of the block including the center of the pupil, a density threshold value is set. Then, based on the density threshold value, a two-valued image is produced from the input image. Among regions in the two-valued image which are darker than the density threshold value, one including the center position of the pupil is extracted as a pupil region.

The invention discloses a method for positioning and recognizing a vehicle logo. The method comprises the following steps of: collecting the vehicle head image of a vehicle by a high-definition camera; positioning the vehicle and positioning and recognizing a vehicle registration plate according to the vehicle head image, and generating the estimated position region of the vehicle logo according to the prior information of the vehicle logo and the vehicle registration plate; in the estimated position region of the vehicle logo, filtering the background region disturbance of the vehicle logo according to extracted texture information, carrying out binaryzation on the texture grey-scale map of the vehicle logo, on which the background region disturbance of the vehicle logo is filtered, accurately positioning the vehicle logo on the generated binary image through a method of finding connected domains in the estimated position region of the vehicle logo and generating the accurate position information of the vehicle logo; according to the accurate position information of the vehicle logo, extracting the accurate grey-scale map of the vehicle logo, carrying out binaryzation on the accurate grey-scale map of the vehicle logo, and generating a binary map corresponding to the vehicle logo; and matching the binary map corresponding to the vehicle logo with a prestored vehicle logo format, carrying out weighing calculation according to the position information, and viewing the vehicle logo type corresponding to the highest score obtained by calculation as the recognizing result of the vehicle logo.

The invention relates to the quantitative analysis and/or visualization of the relative motion of objects in particular of the relative motion of one or several objects inside a living entity, for instance the human body or a living cell. The invented system and method allow to quantify and visualize the motion of these objects with respect to the parts of the living entity, which can deform and move itself with respect to each other. Furthermore, the method allows to identify movements and deformations which correspond to situations with a particular meaning for the living entity, for instance predicting complications in a disease progress, etc. An important application is the analysis of motion and deformation of stent-grafts introduced after endovascular repair of aneurysms. Here, the occurrence of deformations leading to graft-limb occlusions and of migrations of the stent-graft leading to so-called endoleaks can be predicted in an early stage. This allows an early intervention, hence, avoiding more severe problems. The motion is calculated from pairs of images corresponding to different points in time using semi-automatic steps to extract point sets (or binary images) and an automatic procedure to determine the motion and deformation of the point sets and to describe it quantitatively. An important part of the method is the visualization allowing the user to have an immediate impression of the occurring movements and deformations.