529 results about "Image separation" patented technology

A method for automatically classifying images into events for composing and authoring of a multimedia image program on a recordable optical disc comprises the steps of: (a) receiving a plurality of images having either or both date and/or time of image capture; (b) determining one or more largest time differences of the plurality of images based on clustering of the images; (c) separating the plurality of images into events based on having one or more boundaries between events which one or more boundaries correspond to the one or more largest time differences; (d) specifying at least one multimedia feature that is related to each event; (e) encoding the images between event boundaries and the at least one multimedia feature associated therewith into an event bitstream; and (f) writing each event bitstream to the recordable optical disc, whereby each event is authored into a separate section of the recordable optical disc.

An optical code reading system and method are provided for reading and decoding an optical code. The system includes a plurality of light sources, a color image sensor, a processor and a decoder. Each light source produces a unique wavelength/color of light to illuminate the optical code, such as a direct mark optical code. The image sensor detects the reflected light from the optical code and generates an integrated multi-colored image. The processor separates the integrated image into individual color channels, where each color channel includes data representative of the imaged optical code in one color. The processor analyzes the contrast for each color channel and determines which color channel has the optimum contrast. The data corresponding to the color channel having the optimum contrast is then decoded by a decoder.

A two-dimensional/three-dimensional (2D/3D) switchable autostereoscopic display apparatus is provided, including a display panel and a lenticular unit with a two-dimensional mode and a three-dimensional mode. In the two-dimensional mode, the lenticular unit transmits a single image, and in the three-dimensional mode, the lenticular unit separates an image from the display panel into a right-eye image and a left-eye image. The lenticular unit includes first and second lenticular lens sheets, a half-wave plate interposed between the first and second lenticular lens sheets, which rotates a polarization of incident light by 90 degrees, and first and second electro-optical mediums disposed between the first lenticular lens sheet and the half-wave plate and between the second lenticular lens sheet and the half-wave plate, respectively. First and second electro-optical media have refractive indices with respect to extraordinary rays that vary based on electric fields applied to the first and second electro-optical media.

In an exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of generating spatio-spectral information for the image, defining a constraint as a function of the spatio-spectral information, and performing an optimization operation as a function of the constraint to generate an intrinsic image corresponding to the image.

Provided are a depth image obtaining section that obtains a depth image from the same viewpoint as in the input image, a layer section that separates the input image into a foreground image and a background image as layered images using depth information of the depth image, a coding section that encodes the foreground image, a background sprite generating section that generates a background sprite image from the background image, and a sprite coding section that encodes the background sprite image. The depth image from the same viewpoint as in the input image is obtained in the depth image obtaining section, the input image is separated into a foreground image and a background image as layered images using the depth information, and based on the separated background image, a background sprite image is generated.

To provide a plural-viewpoint display device having an image separating optical element such as a lenticular lens or a parallax barrier, which is capable of arranging thin film transistors and wirings while achieving substantially trapezoid apertures and high numerical aperture, and to provide a driving method thereof, a terminal device, and a display panel. A neighboring pixel pair arranged with a gate line interposed therebetween is connected to the gate line placed between the pixels, each of the pixels configuring the neighboring pixel pair is connected to the data line different from each other, and each of the neighboring pixel pairs neighboring to each other in an extending direction of the gate lines is connected to the gate line different from each other.

A three-dimensional display device including an image display unit having first pixels corresponding to left-eye images and second pixels corresponding to right-eye images. The first and second pixels define an image formation plane for substantially forming the images. A parallax barrier is placed in front of the image display unit, and has light interception portions and light transmission portions alternately and repeatedly arranged in a horizontal direction of the image display unit to separate left-eye image light beams from the first pixels and right-eye image light beams from the second pixels in directions of left and right eyes of a viewer. The light interception portions and the light transmission portions define an image separation plane for substantially separating the light beams.

The invention relates to the technical field of image processing and particularly discloses an image acquisition-analysis method. The image acquisition-analysis method includes the steps as follows: step 1. making a plurality of rulers and putting the rulers on every row of supermarket shelf, wherein each ruler is provided with multiple groups of codes; step 2. acquiring images of the shelves on which the rulers are put on; step 3. separating color channels on the collected images and detecting the codes of rulers on the separated channels; step 4. correcting the images according to the detection result of the codes; step 5. dividing out zones including goods in the corrected images according to the detection result on the codes; and step 6. classifying the goods on the zones by utilizingcolor characteristics and local textural characteristics, thus obtaining relevant information of goods arrangement. With the image acquisition-analysis method, the information of the arrangement place, the quantity and the like of the goods on the shelves can be efficiently and correctly obtained. The image acquisition-analysis method is simple, convenient and feasible and saves large amount of manpower and material resources.

The present invention achieves rapid identification of pathogens, bacteria, cancer cells and other abnormal human and animal cells. In one embodiment, the system of the present invention comprises a first subsystem that obtains and processes images of specimens of pathogens, bacteria, and other abnormal cells, and a second subsystem that accepts the images, isolates the particular features of the image using advanced image segmentation, and then rapidly and accurately identifies the pathogens, bacteria and other abnormal cells by using a pattern recognition process wherein the segmented or isolated features of the original image are compared to known reference images.

A method for high dynamic range compression uses a modified cumulative histogram as a compression curve. This curve is computed from the cumulative histogram of the image with constraints that the local derivative on the curve does not exceed a certain limit. The limit is fixed along the curve or the limit is variable, taking into account noise characteristics at various pixel values. To provide appropriate detail preservation, a smoothing filter is used to separate the image into an illumination image, referred to as a base image, and a detail image, and the compression curve is applied to the base image only. The compression method provides high dynamic range compression of the image while preserving the global contrast perception. Conventional global algorithms for high dynamic range compression are not capable of achieving this result. The proposed high dynamic range compression method also minimizes noise amplification while lightening the dark areas during image compression.

An image data processing method comprises: extracting a depth map from an input image; separating the input image into a foreground area and a background area based on grayscales of the depth map; and modulating the maximum depth value of the input image to become smaller and the difference between depth values of a gray grayscale segment of the depth map to be greater than the difference between depth values of the foreground area and background area of the input image.

An image forming system is provided and includes an access unit, a reductive color processing unit, an order sheet print control unit, a composition unit, and a composite print control unit. The access unit accesses a user image stored in a recording medium, the processing unit forms a background image by reducing a color gamut of the user image, and the order sheet print control unit causes a printer unit to create an order sheet on which the background image is printed in a free rendering area. Also, the composition unit separates an area of a subject recorded by a user in the free rendering area from an image of the free rendering area read by a scan unit based on a color gamut of the background image and superimposing the area of the subject on the user image to thereby form a composite image. Finally, the composite print control unit causes the printer unit to print the composite image. A method that the system performs is also provided.

A reflective liquid crystal display panel is a display panel for three-dimensional display in which pixel pairs as display elements composed of one left-eye pixel L and one right-eye pixel R each are provided in a matrix. The lenticular lens is an optical member for image separation that is provided to separate the light from the left and right pixels, and numerous lenticular lenses form a lens array that is arranged in one dimension. An anisotropic scattering sheet as an anisotropic scattering element is provided between the lenticular lens and the reflective liquid crystal display panel. According to this configuration, a reduction in the quality of the reflective display can be minimized, and improved image quality can be achieved without changing the concavo-convex structure of the reflecting panel and the lens shape of the lenticular lens in display device that is capable of displaying different images to a plurality of viewpoints.

In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, for example, a same texture, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score.

In an exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image, organizing spatio-spectral information for the image in a matrix equation expressed by: [A][x]=[b], wherein [A] expresses values determined by a constraining relationship imposed upon the spatio-spectral information, [b] expresses recorded information for the image, and [x] expresses an unknown material/illumination component of the image, and utilizing the matrix equation in an image segregation operation.

The present invention relates to an automatic cloth inspection grade objective evaluation system. It mainly includes CCD camera, fabric holding device, light source, computer and image-collecting card. Said objective evaluation method includes the following steps: utilizing image-collecting card to convert the fabric image into digital image, using fabric defect detection DSP to detect fabric defect, using defect image separation DSP module to separate fabric image with defect, using defect characterization DSP module to make automatic characterization of defect, inputting the characterized result into fabric grade evaluation DSP module to make automatic evaluation of fabric grade.

An image processing system for implementing a variant of Retinex algorithm based on local illumination correction is provided to improve an intensity value of each position of an input image. The image processing system provides the ability to distinguish details when compressing dynamic range of a given image. Specifically, first the illumination of the image is estimated by performing a weighted low pass filter (WLPF) operation, and the original image is separated into the illumination and the reflectance images. Next, the estimated illumination is modified by using a non-linear mapping function based on local illumination at each pixel location. Then, the modified illumination image is combined with the reflectance image. Finally, an enhanced image is obtained after a contrast correction procedure.