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2572 results about "Binary image" patented technology

A binary image is a digital image that has only two possible values for each pixel. Typically, the two colors used for a binary image are black and white. The color used for the object(s) in the image is the foreground color while the rest of the image is the background color. In the document-scanning industry, this is often referred to as "bi-tonal".

Vehicle line walking method and system based on machine vision

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.

Method and system for evaluating aggregate digital image

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.

License plate positioning method incorporating color, size and texture characteristic

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.

Multi-character characteristic fused license plate positioning method

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.

Moving object rapid detection method based on video sequence

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.

Image segmentation method based on watershed algorithm and morphological marker

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.

Method and system for positioning and recognizing vehicle logo

ActiveCN103077384AAccurate positioning and identificationPosition recognition for precise positioning and effectiveCharacter and pattern recognitionPrior informationLocation area
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.

Quantification and visualization of the motion and deformation of one or several objects inside a living entity

InactiveUS20070297657A1Avoid serious problemsImage enhancementImage analysisHuman bodyDisease
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.
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