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87 results about "Image Quantification" patented technology

The process of measuring attributes of an image, by human sense or machine observations and experiences, and mapping them into members of some set of numbers or coded concepts.

Image-based crack quantification

Contact-less remote-sensing crack detection and / quantification methodologies are described, which are based on three-dimensional (3D) scene reconstruction, image processing, and pattern recognition. The systems and methodologies can utilize depth perception for detecting and / or quantifying cracks. These methodologies can provide the ability to analyze images captured from any distance and using any focal length or resolution. This adaptive feature may be especially useful for incorporation into mobile systems, such as unmanned aerial vehicles (UAV) or mobile autonomous or semi-autonomous robotic systems such as wheel-based or track-based radio controlled robots, as utilizing such structural inspection methods onto those mobile platforms may allow inaccessible regions to be properly inspected for cracks.
Owner:UNIV OF SOUTHERN CALIFORNIA

Method for quantifying an object in a larger structure using a reconstructed image

A computer-implemented method for quantifying an object in a larger structure using a reconstructed image obtained from an imaging apparatus includes identifying an object boundary in a region of interest of the image and a region of exclusion, and determining a mean value of intensity in a neighborhood of the object to estimate a background value, excluding the region of exclusion. The method further includes determining an interior region, a transition region, and a background region of the object using the object boundary and a transfer function of the imaging apparatus, and determining and displaying a measure of object quantification utilizing intensities of at least one of the determined interior region or the transition region a method for quantifying an object in a larger structure using a reconstructed image obtained from an imaging apparatus.
Owner:GENERAL ELECTRIC CO

Method for managing immense amounts of music libraries based on mobile device

The invention discloses a method for managing immense amounts of music libraries based on a mobile device, belonging to the technical field of databases, which can uses an image to search a corresponding music document in a music library. The method comprises the following steps: firstly initializing the music data storage space; using the characteristics of immense amounts of images to generate a word tree used for quantifying the images; storing the music document into the music library; preprocessing the image when the music image document is stored into the music library; extracting the characteristics of the music image document; establishing an index for the music document stored into the music library; shooting music-related images at any time and in anywhere by using the mobile device; and uploading the shot pictures and searching the music. The method of the invention utilizes an advanced image matching and searching technology and immense amounts of music library data managing technology, realizes the searching process from the image to the music document, has simple operation, and is more rapid and more accurate in the aspect of searching immense amounts of the music libraries.
Owner:李晓耕

Method and apparatus for global image quantification verification

A method and apparatus are disclosed for testing the accuracy of digital test images generated by a computer graphics program executed on a computer graphics system. A test program is utilized to compare the test image with a reference image. The user defines regions of interest and a maximum error for each region. This allows the user to focus on a particular object or group of objects. Global image quantification verification generates one measurement of error or image difference for each region of the test image. Each region is divided into sub-regions and an average color value is calculated for each sub-region and the corresponding sub-region in the reference image. The differences between the averages for corresponding sub-regions in the test and reference images are calculated. A test image region may be unacceptably different from a reference image if a normalized sum of the absolute differences exceeds the maximum error.
Owner:ORACLE INT CORP

Method and apparatus for local image quantification verification

A method and apparatus are disclosed for testing the accuracy of digital test images by comparing the value of each test image pixel with the average value of a corresponding reference image pixel array. The local image quantification verification test program accepts absolute differences between corresponding pixel and array values that are less than a specified difference maximum. The user may specify a difference maximum and a maximum array size, and may restrict the test image comparison to specified regions of the test image with specific difference tolerances for each region. This allows the user to focus the comparison on certain regions as more important than others and to focus a region on a particular object or group of objects.
Owner:ORACLE INT CORP

Palette device and generation method for image with transparency information

The invention discloses a palette device and a generation method for an image with transparency information. The method comprises the following steps: defining the number of independent entries in an appointed palette as K; quantifying RGB (Red, Green and Blue) three primary colors and transparency value of the image with the transparency information; generating K RGB palette entries with Alpha transparency value; obtaining index values of all pixels of the image; and finally saving the values to form a PNG (Portable Network Graphic) 8 image. According to the invention, the RGB three primary colors and the Alpha transparency are quantified; during quantification, taking the influence of the Alpha transparency of the image to the display effect of the RGB three primary colors into consideration, the quantification series at a lower Alpha transparency value are reduced, and the palette entries are subjectively distributed in a more reasonable manner; when the length of the palette is smaller, a palette initial value obtained according to pixel frequency is subjected to LBG vector quantification, so as to avoid the phenomenon that too much colours lose due to small frequency and effectively reduce the distortion of the quantified image; and when the length of the palette is larger, a Freud jitter method is adopted in the image quantification process so as to effectively improve the subjective quality of the image.
Owner:DALIAN UNIV OF TECH

Method and apparatus for measuring deposition of particulate contaminants in pulp and paper slurries

A method and an apparatus for measuring the depositability of particulate contaminants present in a pulp or paper mill fluid stream and evaluating interactions of such particulate contaminants with other contaminants collects the particulate contaminants on a suitable substrate, such as a plastic film coated with an adhesive or coated with organic contaminate, placed in contact with the pulp or paper mill fluid stream for at least five minutes up to several hours. The amount of contaminants collected on the substrate is quantified and evaluated by taking one or more scanned images of the substrate with a resolution of at least 2,000 dots per inch (DPI) and analyzing the scanned images with image analysis technique.
Owner:SOLENIS TECH CAYMAN

Image retrieval method and apparatus

The invention relates to an image retrieval method and apparatus. The method comprises the steps of: obtaining a to-be-retrieved image from a user terminal; converting the to-be-retrieved image to HSV space from RGB space; quantizing the converted to-be-retrieved image into N-dimensional color features; sorting the feature values of the N-dimensional color features in a descending order, and selecting the first M-dimensional color features as main color of the to-be-retrieved image; determining a cluster index table name of the to-be-retrieved image according to an index value corresponding to the main color; querying whether a cluster index table with the same name as the cluster index table of the to-be-retrieved image exists in the established cluster index table according to a name of the cluster index table; if existence, obtaining an image index of the corresponding image; querying main color percentage of the corresponding image according to the obtained image index; calculating the image similarity according to the main color percentage; and returning an image matched with the to-be-retrieved image to the user terminal according to the similarity. The image retrieval method and apparatus disclosed by the invention remarkably improve the image retrieval efficiency and accuracy.
Owner:CHINA TELECOM CORP LTD

Method and apparatus for regional image quantification verification

A method and apparatus are disclosed for testing the accuracy of digital test images generated by a computer graphics program executed on a computer graphics system. A test program is utilized to compare a test image with a reference image. Regional image quantification verification aims at an image comparison test that accepts minor color value differences and spatial shifts in rendered pixel values. The test image and reference image are divided into corresponding sub-regions. The average color value for each sub-region of the test image is compared to the average color value of the corresponding reference image sub-region and also to other nearby reference image sub-regions. A test image is unacceptably different from a reference image, if for any sub-region of the test image, no reference image sub-region is found with an average color value difference and spatial shift less than specified maximums.
Owner:ORACLE INT CORP

Image color retrieval method and system

The invention discloses an image color retrieval method and an image color retrieval system and relates to the field of image processing. The method comprises the steps of performing quantification processing to HSV (Hue, Saturation and Value) color spaces of pixels in an image to obtain quantified color values within a range of 0 to N, wherein non-uniform fuzzy quantification is performed to tone values; statistically collecting a histogram of the quantified color values of the pixel of the image and performing normalization processing by using the sum of the pixels of the image to obtain a color characteristic vector of the image; comparing the color characteristic vector of the image to the color characteristic vectors of other images to determine the similarity of the images. The method and the system disclosed by the invention have the advantages that since images related to the inquired image color are extracted from a database by taking the color characteristic vector after image quantification as a relevant judgment basis, the image retrieval is enabled to be more intelligent and the extraction result of color-related images becomes more accurate; since the images in the database are processed in advance by adopting an offline module, the execution speed is effectively improved.
Owner:CHINA TELECOM CORP LTD

Urban high-resolution remote sensing image shadow detection and segmentation method

The present invention discloses an urban high-resolution remote sensing image shadow detection and segmentation method. The method includes the following steps that: image quantification is performedon urban multi-band remote sensing images, shadow detection and compensation are performed on the quantized remote sensing images on the basis of chi-square transformation, so that shadow compensatedimages can be obtained; and a multi-scale J-image sequence is calculated for the obtained shadow compensated images, and multi-scale segmentation and region combination are performed, so that final remote sensing image segmentation results can be obtained. With the method of the invention adopted, weak edges and false edges caused by shadows can be can effectively dealt with. The segmentation accuracy of the method is significantly improved; and the method has high reliability.
Owner:NANJING UNIV OF INFORMATION SCI & TECH

Scene change identification during encoding of compressed video

A video encoder identifies scene changes during the encoding of video sequences based on the distribution of macroblock types within each image. Once an image is identified as a scene change, control information is sent to a quantizer to adjust the quantization of the image to improve image quality. The image quantization is improved without changing the frame or picture type of the image within its group of pictures. To improve the image quality, the quantizer can directly or indirectly change the quantization parameter used to quantize the DCT coefficients for the image.
Owner:APPLE INC

Object recognition using binary image quantization and Hough kernels

A system and process for recognizing an object in an input image involving first generating training images depicting the object. A set of prototype edge features is created that collectively represent the edge pixel patterns encountered within a sub-window centered on each pixel depicting an edge of the object in the training images. Next, a Hough kernel is defined for each prototype edge feature in the form of a set of offset vectors representing the distance and direction, from each edge pixel having an associated sub-window exhibiting an edge pixel pattern best represented by the prototype edge feature, to a prescribed reference point on a surface of the object. The offset vectors are represented as originating at a central point of the kernel. For each edge pixel in the input image, the prototype edge feature which best represents the edge pixel pattern exhibited within the sub-window centered on the edge pixel is identified. Then, for each input image pixel location, the number of offset vectors terminating at that location from Hough kernels centered on each edge pixel location of the input image is identified. The Hough kernel centered on each pixel location is the Hough kernel associated with the prototype edge feature best representing the edge pixel pattern exhibited within a sub-window centered on that input image edge pixel location. The object is declared to be present in the input image if any of the input image pixel locations have a quantity of offset vectors terminating thereat that equals or exceeds a detection threshold.
Owner:MICROSOFT TECH LICENSING LLC

Embedding and extracting method for wavelet domain chaotic semi-frageile digit water print

The present invention relates to the embedding and extracting method of wavelet chaotic semi-fragile digital water print. Original image is 2D two-stage wavelet analyzed to obtain {LL2, HL2, LH2, HH2, HL1, LH1, HH1}, where, the pixel grey of LL2 sublayer is mapped to form chaotic initial value and chaotically iterated for several times to form water print image. Then, based on the quantized medium frequency coefficients { HL2, LH2, HH2}, and by means of the extreme sensitivity of chaos to the initial value and the excellent temporal frequency characteristic of wavelet, the distortion to water print image is precisely located. Via flexible regulation of quantized parameters, the robustness against baleful attack is obtained. The method of the present invention has stable performance, fastrealizing speed, strong robustness to baleful distortion and excellent distortion locating and proving capacity.
Owner:SHANGHAI JIAO TONG UNIV

Using deep learning based defect detection and classification schemes for pixel level image quantification

A heat map of probable defects in an image can be represented as a matrix of defect probability index corresponding to each pixel. The image may be generated from data received from a detector of a scanning electron microscope or other inspection tools. A number of pixels in the image that exceed a corresponding threshold in the matrix can be quantified.
Owner:KLA CORP

Image bit enhancement method based on deep learning

The invention discloses an image bit depth enhancement method based on a deep learning network, and the method comprises the following steps: carrying out the preprocessing of a high-bit lossless-image-quality image, and carrying out the quantification of the high-bit lossless-image-quality image into a low-bit image; designing a convolutional neural network based on deep learning, taking the quantized low-bit image as input, and taking perception loss between an output result and the original high-bit image as a loss function; training parameters of each convolution layer and each batch normalization layer in the model through an optimizer gradient descent loss function, and storing the corresponding model and parameters of all layers in the model after the descent amplitude of the modelloss function does not exceed a threshold value; and after the high-bit image is quantized into low bits, recovering the high-bit image through the stored convolutional neural network. According to the method, a convolutional neural network framework in deep learning is utilized, so that a high-quality high-bit image can be accurately recovered.
Owner:TIANJIN UNIV

Automatic classification method for breast tumor ultrasound images

The invention relates to an automatic classification method for breast tumor ultrasound images, and belongs to the technical field of applications of artificial intelligence. According to the invention, quantitative features of the breast tumor ultrasound images are tightly combined, histogram features, color features, profile features, edge features and echo features in the breast tumor ultrasound images are quantified, a decision-making tree, a Naive Bayesian method and a random forest method are selected to serve as machine learning methods, and a decision-making tree, Naive Bayesian and random forest weighted fusion multi-dimensional classification method is proposed to perform recognition on the breast images. The automatic classification method can effectively improve the automatic classification accuracy of the breast tumor ultrasound images.
Owner:高东平

Automatic evaluation method of image quantitation of medical magnetic resonance model body

InactiveCN106618572AFacilitate follow-up automatic methodAvoid discrepancies in test resultsDiagnostic recording/measuringSensorsImage segmentation algorithmLine pair
The invention relates to an automatic evaluation method of image quantitation of a medical magnetic resonance model body. The automatic evaluation method comprises the following steps: by adopting image skewing correction, performing two-dimensional rotation to images, and interpolating images by adopting a bicubic interpolation method to ensure that the images are in normotopia; calculating FWHM of each layer thickness area by using a method of calculating the average of a plurliayt of profile lines, so as not to be influenced by subjective factors; increasing image uniformity profile curves, so as to enable the distribution uniformity of images to be clear; extracting the profile of step edges of an ROI area in high-contrast resolution detection by using a watershed method, accurately positioning the position areas of a plurality of line pair sets, so as to accurately draw profile lines; accurately positioning the maximum circular spot in each set of low-contrast resolution detection area by using an image segmentation algorithm of a horizontal set, and automatically and accurately positioning the centroid of all the ROI areas of geometric distortion detection layer by using a centroid method, to guarantee the geometric distortion rate and aspect ratio accuracy. The automatic evaluation method does not rely on individual experiences, the detection speed is fast, and the detection efficiency and the detection accuracy can be greatly promoted.
Owner:NAT INST OF METROLOGY CHINA

Hydroacoustic image compression method based on discrete wavelet transform under excessive bit error rate

The present invention discloses an underwater sound image compressing method based on discrete wavelet conversion under high error bit ratio, including the following steps: 1) to statistical analysis the child band energy of image wavelet parameter, and obtain wavelet parameter child band energy statistical table by implementing three-layer decomposing to the underwater sound image through dual orthogonal CDF9 / 7 wavelet group; 2) image quantification; 3) encoding and decoding, to implement compress encoding to the quantification parameter after the three-layer decomposing. The encoding process includes the following steps: (1) to implement definite length encoding to the parameter of the child band LL3, HL3, LH3, HL2 and LH2; (2) to divide the child band LH1 into sixteen subblocks of sixteen by sixteen, each subblock uses the front 128 zero journey encoding mates, the journey number and the non zero value is defined by 2bits and 3bits separately; (3) to abnegate the encoding to the child band of HH3, HH2, HH1 and HL1. The method of the present invention counterpleas high error bit ratio, the image quality after compressing is very good.
Owner:INST OF ACOUSTICS CHINESE ACAD OF SCI

Using deep learning based defect detection and classification schemes for pixel level image quantification

A heat map of probable defects in an image can be represented as a matrix of defect probability index corresponding to each pixel. The image may be generated from data received from a detector of a scanning electron microscope or other inspection tools. A number of pixels in the image that exceed a corresponding threshold in the matrix can be quantified.
Owner:KLA CORP

Image quantitative analysis method

The invention discloses an image quantitative analysis method. The method comprises the following steps of obtaining an original image sample, wherein the original image sample includes an original training sample and an original test sample; performing smooth fuzzy processing, normalizing image block data in the original training sample and the original test sample to reduce the resolution of theimage for obtaining a fuzzy training sample and a fuzzy test sample, and enabling the fuzzy test sample to have the same data features as the fuzzy training sample; and training a super-resolution reconstruction model, processing the fuzzy test sample, and constructing a residual error spectrum, wherein a high-gray value response region in the residual error spectrum is namely an abnormal featureregion.
Owner:SHANGHAI SIXTH PEOPLES HOSPITAL

Method and apparatus for adaptive local image quantification verification

A method and apparatus are disclosed for testing the accuracy of digital images generated by a computer graphics program executed on a computer graphics system. A test program is utilized to compare test images with a set of reference images. Adaptive local image quantification verification aims at an image comparison that allows specified color value and spatial shifts. The color value for each pixel of a specified portion of the test image is compared to the average color value of an offset array of pixels in a reference image. A test image region may be unacceptably different from a reference image, if for any pixel of the test image region an offset reference image array is not found that has an array size, absolute color value difference, and spatial shift less than specified maximums.
Owner:ORACLE INT CORP

Image bit enhancement method based on multilayer features of series neural network

The invention discloses an image bit enhancement method based on multilayer features of a series neural network. The image bit enhancement method comprises the following steps: constructing a trainingset, quantizing a high-bit image of the training set into a low-bit image, solving a difference between the high-bit image and the low-bit image according to pixels to obtain a residual image, and performing zero filling on the low-bit image to obtain a zero-filled high-bit image; removing random variables in the VAE network, directly inputting a feature map generated by an encoder into a decoder, and establishing a deep learning network model on the basis of the feature map; adding a plurality of series jump connections into the network model, and transmitting each layer of feature map to all subsequent layers; inputting the zero-filling high-bit image into a deep learning network model to generate a residual image, and training a network by using an Adam optimizer; and quantizing the high-bit image of the test set into a low-bit image, inputting the zero-filling high-bit image into the network loaded with the training model parameters to generate a residual image, and adding the residual image and the low-bit image according to pixels to obtain a reconstructed high-bit image.
Owner:TIANJIN UNIV

Image quantization method, computer equipment and storage medium

The invention relates to an image quantization method, computer equipment and a storage medium. The method comprises the following steps: segmenting a medical image of a to-be-detected object to obtain a first class segmented image and a second class segmented image, wherein the first class segmented image comprises at least one first region of interest, and the second type segmented image comprises second regions of interest corresponding to the first regions of interest; determining feature data corresponding to each second region of interest according to the at least one first region of interest and the second region of interest corresponding to each first region of interest, wherein the feature data is used for representing the distribution condition of each second region of interest;and determining a quantized value corresponding to the medical image according to the feature data corresponding to each second region of interest and the clinical feature data of the to-be-detected object, wherein the clinical feature data is data obtained after clinical detection is conducted on the to-be-detected object, and the quantized value is used for indicating the severity degree of pulmonary infection on the medical image. The method can improve the detection precision.
Owner:SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECH CO LTD

Real-time multi-frame bit enhancement method based on content and continuity guidance

The invention discloses a real-time multi-frame bit enhancement method based on content and continuity guidance. The method comprises the steps of quantizing a high-bit image into a low-bit image, carrying out low-bit zero padding of the low-bit image, and obtaining a zero-filled high-bit image as a training set of a network; removing a motion compensation module and a time sequence symmetric sub-network in the SS-VBDE network, and connecting the feature maps, meeting the symmetric positions in space, of a convolution layer and a deconvolution layer to realize spatial symmetric jump connection; performing low-bit zero filling on the low-bit image of the training set to obtain a zero-filled high-bit image as network input; combining the image content loss and the inter-frame continuity lossbetween the multi-frame image sequence generated by the improved network and the real image sequence to serve as a loss function, and training improved network model parameters through an Adam optimizer; and performing low-bit zero filling on the low-bit image of a test set to obtain a zero-filling high-bit image, inputting a high-bit image sequence into the improved SS-VBDE network after the network model parameters are loaded, and outputting a processed high-bit image sequence.
Owner:TIANJIN UNIV

Extraction method of histogram texture descriptor in muti-contrast mode

InactiveCN101894261ADescribe wellTexture features are efficient and simpleCharacter and pattern recognitionImage QuantificationHistogram
The invention provides an extraction method of a histogram texture descriptor in a muti-contrast mode, comprising the following steps: carrying out image quantization; separating the quantized image into a positive matrix, a negative matrix and an equivalent matrix; and carrying out histogram calculation according to the three matrixes to obtain the histogram descriptor in a local mode of the image. The technical proposal provided by the invention can achieve efficient and simple extraction of textural features and well express the texture of an SAR image.
Owner:WUHAN UNIV

Multi-pinhole and single-photon SPECT myocardial blood flow absolute quantification method and application

The invention relates to a nuclear medicine heart image quantification technology, in particular to to a technological method for multi-pinhole SPECT or SPECT / CT dynamic image quantitative reestablishment and myocardial blood flow absolute quantification measurement and application of the technological method in myocardial blood flow state evaluation. The technological method includes the specific steps of nuclide physical decay correction, in-scanning patient movement correction, scattering correction, geometric warping correction, data truncation compensation, tissue attenuation correction, noise removal, pixel value conversion, myocardial blood flow quantitative calculation and blood flow state evaluation. With the technological means, a quantitative multi-pinhole SPECT dynamic heart image can be generated, myocardial blood flow absolute quantification calculation can be carried out through the quantitative multi-pinhole dynamic image, and thus quantitative measurement of the myocardial blood flow is achieved; meanwhile, a blood flow state diagram is established with the three indexes of resting blood flow, load blood flow and blood flow reserve and is put into the practical application of evaluating the myocardial blood flow state, the purpose of carrying out quantitative measurement of the myocardial blood flow with multi-pinhole SPECT and SPECT / CT dynamic development is achieved, and the technological method can be applied to evaluation of the myocardial blood flow state.
Owner:刘丽 +2
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