127 results about "Color vector" patented technology

A system and method implemented as a software tool for generating alpha matte sequences in real-time for the purposes of background or foreground substitution in digital images and video. The system and method is based on a set of modified Poisson equations that are derived for handling multichannel color vectors. Greater robustness is achieved by computing an initial alpha matte in color space. Real-time processing speed is achieved through optimizing the algorithm for parallel processing on the GPUs. For online video matting, a modified background cut algorithm is implemented to separate foreground and background, which guides the automatic trimap generation. Quantitative evaluation on still images shows that the alpha mattes extracted using the present invention has improved accuracy over existing state-of-the-art offline image matting techniques.

An image recognition apparatus operates on data of a color image to obtain an edge image expressing the shapes of objects appearing in the color image, the apparatus including a section for expressing the color attributes of each pixel of the image as a color vector, in the form of a set of coordinates of an orthogonal color space, a section for applying predetermined arrays of numeric values as edge templates to derive for each pixel a number of edge vectors each corresponding to a specific edge direction, with each edge vector obtained as the difference between weighted vector sums of respective sets of color vectors of two sets of pixels which are disposed symmetrically opposing with respect to the corresponding edge direction, and a section for obtaining the maximum modulus of these edge vectors as a value of edge strength for the pixel which is being processed. By comparing the edge strength of a pixel with those of immediately adjacent pixels and with a predetermined threshold value, a decision can be reliably made for each pixel as to whether it is actually located on an edge and, if so, the direction of that edge.

Based on area and color analyses, a cost-effective bi-directional people counter dedicated to the pedestrian flow passing through a gate or a door is proposed. Firstly, the passing people are roughly counted with the area of people projected on an image captured by a zenithal video camera. The moving direction of the pedestrian can be recognized by tracking each people-pattern with an analysis of its HSI histogram. To improve the accuracy of counting, the color vector extracted from the quantized histograms of intensity or hue is introduced to refine the early counting. Besides, the inherent problems of both people touching together and merge / split phenomenon can be overcome.

A method and apparatus for measuring the performances of a camera including illumination, signal levels, signal to noise ratio, resolution, spectrum, color vectors and displaying the measured values in alphanumeric, waveforms, graphs and vectors onto a displayed scene generated by a camera under test, thereby enabling the user to better comprehend the meaning and verify the camera specifications and their fitness.

A system and method for tracking a global shape of an object in motion is disclosed. One or more control points along an initial contour of the global shape are defined. Each of the one or more control points is tracked as the object is in motion. Uncertainty of a location of a control point in motion is represented using a number of techniques. The uncertainty to constrain the global shape is exploited using a prior shape model. In an alternative embodiment, multiple appearance models are built for each control point and the motion vectors produced by each model are combined in order to track the shape of the object. The movement of the shape of the object can be visually tracked using a display and color vectors.

A system and method implemented as a software tool for generating alpha matte sequences in real-time for the purposes of background or foreground substitution in digital images and video. The system and method is based on a set of modified Poisson equations that are derived for handling multichannel color vectors. Greater robustness is achieved by computing an initial alpha matte in color space. Real-time processing speed is achieved through optimizing the algorithm for parallel processing on the GPUs. For online video matting, a modified background cut algorithm is implemented to separate foreground and background, which guides the automatic trimap generation. Quantitative evaluation on still images shows that the alpha mattes extracted using the present invention has improved accuracy over existing state-of-the-art offline image matting techniques.

The invention provides a rainfall measurement method based on video images. For rainfall videos acquired by a video camera, the logarithmic image processing (LIP) method is adopted to replace the brightness value with gray tone and build gray tone constraint conditions to extract candidate raindrops; the principal component analysis (PCA) method is utilized to build a probability density distribution function of the inclination directions of the candidate raindrops, the Mean-shift method is adopted to derive and solve the peak value of the distribution function, and the inclination directions of the candidate raindrops are constrained to remove interference; defocusing raindrops are removed through constrain on the included angle between color vectors of both the scene background and the raindrop foreground; the size of each focusing raindrop is demarcated and calculated by parameters of a camera, a raindrop spectrum is built and the rainfall is derived by utilizing a Gamma raindrop spectrum distribution model in a fitting manner. According to the invention, a traditional rainfall measurement method is broken through, and the video-based measurement method is innovatively provided; rainfall data acquired by adopting the video-based measurement method has very high time resolution and spatial resolution; and economization and rapidness are realized.

An image recognition apparatus operates on data of a color image to obtain an edge image expressing the shapes of objects appearing in the color image, the apparatus including a section for expressing the color attributes of each pixel of the image as a color vector, in the form of a set of coordinates of an orthogonal color space, a section for applying predetermined arrays of numeric values as edge templates to derive for each pixel a number of edge vectors each corresponding to a specific edge direction, with each edge vector obtained as the difference between weighted vector sums of respective sets of color vectors of two sets of pixels which are disposed symmetrically opposing with respect to the corresponding edge direction, and a section for obtaining the maximum modulus of these edge vectors as a value of edge strength for the pixel which is being processed. By comparing the edge strength of a pixel with those of immediately adjacent pixels and with a predetermined threshold value, a decision can be reliably made for each pixel as to whether it is actually located on an edge and, if so, the direction of that edge.

Based on area and color analyses, a cost-effective bi-directional people counter dedicated to the pedestrian flow passing through a gate or a door is proposed. Firstly, the passing people are roughly counted with the area of people projected on an image captured by a zenithal video camera. The moving direction of the pedestrian can be recognized by tracking each people-pattern with an analysis of its HSI histogram. To improve the accuracy of counting, the color vector extracted from the quantized histograms of intensity or hue is introduced to refine the early counting. Besides, the inherent problems of both people touching together and merge / split phenomenon can be overcome.

The invention discloses a super-surface color vector complex amplitude holographic element, which comprises a bimetallic nanorod unit structure with adjustable in-plane rotation angles and in-plane displacement, wherein an aluminum-silicon dioxide-aluminum super-structure grating structure generates a polarization-selective type diffraction efficiency enhancement effect in a visible light range; asum of in-plane displacement of two metal nanorods in the unit structure and diffraction phase information are in a linear modulation relationship, a difference between the rotation angles of the twometal nanorods and a diffraction light amplitude are in a sinusoidal modulation relationship, and a sum of the rotation angles of the two metal nanorods and a diffraction light polarization directionare in a linear modulation relationship; and a color holographic method is implemented on diffraction level by utilizing the phase displacement based on inherent dispersion of the super-structure grating. The super-surface color vector complex amplitude holographic element disclosed by the invention has the advantages of low requirements for preparation control precision, simple structure, high degree of control freedom and the like, and has powerful functions of simultaneously controlling four parameters of light wave phase, polarization, amplitude and frequency.

A method and apparatus for measuring the performances of a camera including illumination, signal levels, signal to noise ratio, resolution, spectrum, color vectors and displaying the measured values in alphanumeric, waveforms, graphs and vectors onto a displayed scene generated by a camera under test, thereby enabling the user to better comprehend the meaning and verify the camera specifications and their fitness.

A method is provided for rendering a color image with a plurality of separations with a halftone process using a single screen. The screen is comprised of a plurality of pixel locations with associated threshold values and the image is comprised of a plurality of separation values. The method includes the steps of rendering a first one of the plurality of separations in accordance with the screen, wherein the plurality of pixel locations are turned on or off at a given pixel location based on a comparison of the image separation value at that pixel with the screen threshold value. The rendering of the next color separation is made in accordance with the rendering of the first separation and the screen, wherein for constant image separation values, pixel locations are turned on for the separation at pixel locations disposed in a highest available luminance region having a lowest available threshold value. When successive filling approaches the end portion of available threshold values, overlap filling with earlier rendered color separations occurs before the screen is completely filled.

A method is described for the automatic determination of a planogram in a vending machine using image processing. Novel steps include the use of a Gaussian map in a two-dimensional color space, such as the HS plane, to create high-dimensionally color vectors for all and for selected portions of images. Multiple feature detection / extraction algorithms are run between multiple idealized reference images for a product and one image from one vending machine coil location. The large resulting candidate feature list is pruned in a series of steps using both color and gray-scale color vectors and small area image matching around features. Remaining candidate features are ranked by a RANSAC outlier removal step, with the top ranked product then being the correct product in that coil in the planogram. Steps are repeated for all coils in a vending machine.

The invention discloses a method for detecting the credibility of digital image content by utilizing gradient local entropy; as for three channels of an RGB colored image, edge detection arithmetic operators are respectively used for convoluting to obtain a derivative of a color vector (R, G, B); as for each pixel dot (x, y) in the image, gxx, gyy and gxy are respectively calculated; as for each pixel dot in the image, a gradient direction angle theta and a gradient amplitude F theta are respectively calculated; a gradient amplitude image F theta is taken as an edge image; local information entropy is defined and obtained from a gradient image; and a local entropy image is combined with the gradient image to position eclosion marks and evaluate the credibility of the image. The method overcomes the defect that the detection result of the former algorithm is relatively arbitrary and has relatively great practicality.

A multichannel pulse coupling neural network based color image segmentation technology comprises the steps of step (1), inputting images to be segmented; step (2), using color vectors of all pixels of the images as input vectors of one input neuron and eight adjacent pixel color vectors as radial basis function (RBF) characteristic vectors, and determining initial seed points through seed selection conditions; step (3), growing the seed region through growing rules, classifying the pixel points in accordance with the growing rules in the seed region, and connecting the neurons and grouping and numbering the neurons; step (4), calculating the average characteristic vector of all connection regions, and replacing the characteristic vectors included in all neurons of the region with the obtained characteristic vector; step (5), connecting the qualified unconnected neurons with the proximate groups through a rapid connection rule; step (6),updating the preset threshold to be theta i = theta i1 +delta theta i, and repeating the step (5); step (7), performing rule merging on accordant regions in the images and merging proximate region blocks on space; repeating the step (7) till the region merging stopping conditions are met to complete color image segmentation.

The embodiment of the invention provides an urine detection method and device and applied to electronic equipment. The urine detection method comprises the steps that an image of a detection test paper soaked with urine is obtained; a color vector value, displayed in the image, of a color correcting color lump, and a true color vector value of the color correcting color pump are obtained; color cast correcting treatment is conducted on the image according to the difference value of the color vector value and the true color vector value of the color correcting color lump; position information of an urine detection color lump soaked with urine is obtained, and a correction color vector value of the part, soaked with urine, of the urine detection color pump which is subjected to color cast correcting treatment is obtained; a reference color vector value set of a color lump matched with the urine detection color lump is determined according to the position information of the color pump soaked with urine; and a color vector value matching result of the correction color vector value of the part, soaked with urine, of the urine detection color lump and the reference color vector value setof the color lump matched with the urine detection color lump is determined, and the urine detection result is obtained. Urine can be accurately detected by applying the urine detection method and device.

The invention discloses a video key frame extraction method based on salient regions in the technical field of computer image processing and pattern recognition. The method comprises the steps of firstly, carrying out sampling conversion on video data, and converting a video into a continuous frame image sequence; secondly, extracting the salient region in each frame of image by utilizing a spectrum residual model; thirdly, sorting the salient regions according to areas of the salient regions in the images, and performing color vector vectorization on the salient regions sorted in the front; and finally, measuring the similarity between two continuous frames of images according to the vectorized salient regions, and determining video key frames according to the similarity. According to themethod, the extracted key frame image sequence can effectively reserve main contents of the video.

Disclosed is an image pickup device that obtains adequate brightness by irradiating flash light, and that acquires an image of colors identical to humanly perceived colors. An image pickup device (10)that irradiates flash light to photograph a subject (20) includes: a light emission unit (11) that irradiates flash light on the subject; an image acquisition unit (12) that acquires a continuously photographed image containing a first image and a second image of higher luminance than the first image by photographing the subject (20) while the flash light is being irradiated by the light emissionunit (11); a color information acquisition unit (14) that acquires the color information of a first color vector from the first image; a luminance information acquisition unit (15) that acquires theluminance information of a second color vector from the second image; and an image generation unit (17) that generates a corrected image of higher luminance than the first image by generating a thirdcolor vector corresponding to the color information of the first color vector and the luminance information of the second color vector.

The invention belongs to the technical field of image processing, and particularly relates to an image processing method and device, a terminal and a computer readable storage medium, and the image processing method comprises the steps: obtaining a face image, and detecting a defect region and a normal skin region in the face image; determining a first color vector corresponding to the defect area, a second color vector corresponding to the normal skin area and a difference vector between the second color vector and the first color vector; generating a first mapping table of the face image according to the pixel value of each pixel point in the defect area and the difference vector; carrying out skin color adjustment on the defect area by utilizing a first mapping table to obtain a face image subjected to concealing processing. According to the method and the device, when the concealing-processed face image is subjected to beautifying processing, the problem that the beautifying effectis poor due to the fact that good skin color processing cannot be carried out on flaws such as spots and acne marks is solved, and the beautifying effect on the face image is optimized in the image processing process.

The method includes operations:(1) Divide the RGB color space (RCS) into multi-cells, (2) linearize the gamma feature function (GFF) of the video input device (VID) cell by cell, (3) correspondingly map all cells of RCS into the YUV color space (YCS) to convert YCS into cells, (4) build linear GFF having unified format and different parameters, (5) use linear GFF and linear gamma correct function (LGCF) to relate the corrected YCS vector with the non-distortion RGB color vector (NRCV) to ensure the related vector and NRCV in the same signal space, (6) use the related vector and NRCV to set a mathematic optimizing subject, (7) solve this subject and obtain parameters of LGCF of all cells of YCS, (8) finally cell by cell gamma-correct the video signal of YCS output from VID according to the gamma correct function. This invention reaches the aims about the gamma correct: easy to use, extensive application range and low cost.

The embodiment of the invention discloses an image denoising method and device. The method comprises the steps of determining a denoising adjacent region and a reference adjacent region from a Bayer template image; on the basis of color components of a center pixel point, obtaining a first RGB color component value in the denoising adjacent region and a second RGB color component value in the reference adjacent region; on the basis of the color components of the center pixel point, conducting zooming processing on the first RGB color component value to obtain a first set of RGB color vectors, and conducting zooming processing on the second RGB color component value to obtain a second set of RGB color vectors; on the basis of the first set of RGB color vectors and the second set of RGB color vectors, obtaining a smoothing weight of the reference adjacent region relative to the denoising adjacent region; on the basis of the smoothing weight, conducting denoising processing on the denoising adjacent region.

Provided is a color image clustering segmentation method based on the multi-scale perception characteristic of human vision. The method is characterized by comprising the following steps: firstly, segmenting a CIELAB color space into two parts through a cylinder with (a, b) as the circle center and Rn as the radius, wherein a=0 and b=0; secondly, segmenting an image into segments with a certain density and a certain size according to the traditional image segmentation clustering algorithm; thirdly, calculating the average color vector value of each clustering segment and projecting each vector onto the ab plane; fourthly, calculating the length of the vector, projected onto the ab plane, of the average color vector value of each clustering segment; fifthly, classifying the clustering segments into different measure spaces according to the lengths of the vectors; sixthly, calculating the included angle between the vectors of every two adjacent segment classes according to the formula shown in the specification; seventhly, clustering the segments meeting conditions with the formula as the criterion; eighthly, repeating the third step to the six step until convergence. By means of the method, the clustering effect and the anti-jamming capability of the image are improved.

The present invention relates to an image retrieval method. According to the method, color features of images are extracted by using a color histogram, two features, such as a color vector of the color histogram and the height of a color column, are used as retrieving bases, the degree of similarity is calculated by using a fuzzy membership function in a fuzzy set theory, the similarity is judged by using an alpha-level fuzzy relationship, meanwhile, texture features of the images are extracted by introducing non-subsampled contourlet transform (NSCT), the images are decomposed by using the NSCT, mean values and standard variances of subband coefficients in different levels and multiple directions are extracted as feature vectors which serve as indexes of images in an image library, the degree of similarity among the images is calculated by using the fuzzy membership function in the fuzzy set theory, powerful direction information is reserved after the images are decomposed due to the multi-scalability, multi-directionality and translation invariance of the images, thus, the texture features of the images can be described more comprehensively, and finally, the images are retrieved through combining two algorithms and applying comprehensive features.

System and method for maintaining perceived hue constancy. A method for displaying an image includes receiving a color vector and associated image data, remapping the color vector to maintain a perceived hue constancy by adjusting a hue component of the color vector in response to a change in a lightness component or a chroma component of the color vector, providing the remapped color vector to a light source for display, and displaying image data associated with the color vector. The use of the constant hue curve ensures that the adjusting of the color vector maintains the perceived hue of the color vector, thereby helping to maintain image quality.

The invention discloses a skin color enhancement processing method and device and an image processing device. The method comprises the following steps: obtaining image information of skin color region of a human face in an image, wherein the image information comprises a first color vector of each pixel point in the skin color region, the first color vector comprising a red component color difference value and a blue component color difference value; according to the red component color difference value and the blue component color difference value, calculating a skin color center region in the skin color region; according to the relation between each pixel point in the skin color region and the skin color center region, calculating offset amount of the first color vector of each pixel point in the skin color region; and carrying out skin color enhancement processing on the image according to the offset amount of the first color vector. Selection of the skin color center region in a dynamic skin color model is set, so that skin color selection of the skin color center region is based on the feeling of the human eye on color difference, and real skin color under the current situation is reflected truly; and the processing method has a better skin color enhancement effect, and has wide applicability.

A router can consider two color vectors for a path including multiple links through a network. One color vector indicates colors that all of the multiple links include. Another color vector indicates the colors that none of the multiple links include. In setting up a constraint-based label switched path (LSP), a router can use a program that includes a logical process. With the process, the router can automatically compute the color vectors for the path whenever the path of an LSP changes and / or the characteristics (colors) of one or more of the multiple links constituting the LSP changes. Computing whether the path is eligible for inclusion in the LSP includes calculating whether the path includes all colors that must be included in an LSP and calculating whether the path includes any of the colors that must be excluded from the LSP.

A color processing method for identification of areas within an image corresponding to monetary banknotes includes dividing the image into a plurality of sections; extracting color histogram data for each section; assigning a color vector for each section according to the color histogram data for the section; comparing the color vector for each section to a color lookup table to determine a probability of the section corresponding to monetary banknotes; and selecting probable sections having the probability exceeding a first predetermined threshold.

The invention discloses a detection method for a copper grade of a copper block. The method comprises the steps of (1) acquiring images and extracting ROI; (2) extracting texture features from the ROI; (3) judging quality of the ROI; (4) calculating a color vector angle; (5) determining types of a to-be-detected copper block; and (6) calculating the copper grade. The detection method can automatically finish copper block section positioning and ROI acquisition under a complex background, select out the ROI with qualified quality base on the texture features and finally estimate the copper grade rapidly by mixed Gaussian regression with relatively high precision. The invention also discloses a detection system for the copper grade. The detection system is based on an embedded platform of ARM + DSP dual-core chips and acquires the image by using an industrial camera. The detection system is easy to carry, greatly reduces cost, is very suitable for productization, and has the advantages of full automation, no contact, no damage, continuation, real time and high accuracy.

The invention relates to an image retrieval method. The method comprises the following steps of extracting color characteristics of an image by using a color histogram, and taking two characteristics such as a color vector of the color histogram and the height of a color column as the retrieval basis; calculating similarity by using the fuzzy membership function in a fuzzy set theory, judging the similarity through alpha fuzzy relation; introducing non-subsampled contourlet transform (NSCT) to extract the texture characteristic of the image at the same time; resolving the image by NSCT; extracting the mean value and standard deviation of sub-band coefficient in multiple directions of different layers and taking the mean value and standard deviation as feature vectors and index of the image in an image library, calculating similarity of the images by using the fuzzy membership function in a fuzzy set theory, wherein because the multiscale, multidirectionality and translation invariance property, great direction information can be kept after resolving, the method can completely describe the textural features of the image; finally, the two algorithms are combined, retrieving the image by using comprehensive features.