Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

43results about How to "Good area" patented technology

Multi-dimension texture image partition method based on self-adapting window fixing and propagation

The present invention discloses a multi-scale grain image segmentation based on self-adaptive window fixation and spread. The process comprises the steps as follows: an image block n corresponding to the grain of an image to be segmented is picked up for wavelet transform, and a corresponding HMT model parameter theta n thereof is determined; the corresponding likelihood value of corresponding data block at each wavelet decomposition scale of the image to be segmented and the corresponding likelihood value of the pixel of the image to be segmented are determined respectively and are combined together to find out the likelihood value n<k> required by finial fusion; the likelihood value on fusion widest scale (k is 4) is found out, and the corresponding segmentation result plotting on the scale is determined also; a marking field on the fusion scale k and the physical clustering center of each grain are confirmed; the multi-scale segmentation of the self-adaptive window fixation and spread is used for find out the segmentation result plotting on next fusion scale k minus 4; the finial segmentation result is confirmed by judging whether the fusion scale of the segmentation result plotting is zero or not. The multi-scale grain image segmentation has the advantages of area consistency and good edge positioning performance and can be used for image segmentation comprising grain information.
Owner:探知图灵科技(西安)有限公司

Image reconstruction method based on heredity sparse optimization and Bayes estimation model

The invention discloses an image reconstruction method based on heredity sparse optimization and a Bayes estimation model. The method mainly solves the problems that in the partitioning and reconstruction process of a compressed sensing image through the existing method, a boundary is fuzzy and a blocking effect is obvious. According to the method, image blocks are classified into smooth image blocks and non-smooth image blocks, and modeling and reconstruction are respectively carried out on the smooth image blocks and the non-smooth image blocks; according to the statistical property of the smooth image blocks, rapid reconstruction is carried out on the direct current components and the variable components of the smooth image blocks by directly using pseudo-inverse solutions; for the non-smooth image blocks, optimal reconstruction is carried out on the non-smooth image blocks by selecting a set of atoms from a PCA dictionary through a genetic algorithm. Experimental results show that compared with images reconstructed through a traditional orthogonal matching pursuit method (OMP) and a traditional statistical compression sensing method (SCS), the images reconstructed through the method has better boundary consistency and area consistency, detail information is clearer, the blocking effect is reduced remarkably, and the image reconstruction method based on heredity sparse optimization and the Bayes estimation model can be applied to reconstruction of images acquired under a low sampling rate.
Owner:XIDIAN UNIV

2 stage rotary compressor

The present invention provides a 2 stage rotary compressor (100) including a hermetic container (101), a 2 stage compression assembly provided in the hermetic container, wherein a low pressure compression assembly (120), a middle plate (130) and a high pressure compression assembly (140) are successively stacked from any one of upper and lower portions, a first discharge port (124) for discharging middle pressure refrigerant compressed in the low pressure compression assembly (120) a second discharge port (162p) for discharging high pressure refrigerant compressed in the high pressure compression assembly (130) and a third discharge port (172p) positioned at any one of the upper and lower portions of the 2 stage compression assembly to discharge high pressure refrigerant compressed in the 2 stage compression assembly to the hermetic container (101), wherein an area of the third discharge port (172p) is larger than 0.5 times of an area of the first discharge port and smaller than 1.0 times thereof. As a volume flow of refrigerant compressed in the low pressure compression assembly (120) determines a volume flow of refrigerant compressed in the entire 2 stage compression assembly, a size of the third discharge port discharging refrigerant compressed in the 2 stage compression assembly is preferably optimized at a ratio with respect to a size of the first discharge port (127). Therefore, the size of the third discharge port (172p) can be optimized to suppress noise of the compressor.
Owner:LG ELECTRONICS INC

Method for automatically extracting small and medium-sized burned area based on enhanced combustion index

PendingCN114494281AGood extraction accuracy and stabilitySmall amount of calculationImage enhancementImage analysisMeteorologyRemote sensing
The invention discloses a small and medium-sized burned area automatic extraction method based on an enhanced combustion index, and the method comprises the steps: determining a fire site according to the azimuth angle of the fire site relative to the position of an observer and the visual distance between the fire site and the observer, and obtaining the images of the fire site before and after a disaster; data cloud mask processing is carried out on the obtained fire image through cloud mask identification, so that the influence of a large amount of dense clouds is removed, and then an enhanced normalized combustion index is constructed, so that a burned area presents a highlight value, and the highlight value is obviously different from surrounding background pixels; and performing an Ostu automatic segmentation algorithm on the fuzzified ENBR image data to complete the extraction of the burned area. According to the method, the data features of the burned land are automatically extracted based on ENBR and OSTU algorithms, and compared with a traditional dNBR and BAI manual threshold judgment method, the method has better extraction precision and stability, the extraction result can be analyzed, better area and threshold self-adaptive capacity is achieved, and judgment precision is high.
Owner:浙江省气候中心 +1

Silicon-center chiral silicon-oxygen compound and preparation method thereof

The invention belongs to the field of chiral silicon synthesis, and discloses a silicon-center chiral silicon-oxygen compound. The compound has a structure represented by general formula I shown in the specification. In the formula I, X is Si(R<3>)n or a formula also shown in the specification, R<1> is selected from alkyl, cycloalkyl and aryl, R<2> is selected from alkyl, substituted phenyl and aryl, R<3> is selected from alkyl, phenyl and substituted phenyl, n is 3, the three R<3> are the same or different, R<4> is selected from hydrogen and (C1-C4) alkyl, m is selected from 0, 1, 2 and 3, and Y is selected from substituted phenyl, substituted pyrenyl, aryl, heteroaryl and cycloalkyl. The invention also discloses a preparation method of the compound. Various highly functionalized chiral siloxanes and silyl ethers are obtained with good chemical, regional and stereo control and high yield, the variety of silicon center chiral compounds is expanded, and the method has the advantages of high enantioselectivity, wide substrate application range, mild reaction conditions, atom economy and the like. In addition, the compound provided by the invention has a huge application prospect in chiral organic photoelectric materials.
Owner:SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA

A three-dimensional tumor contour reconstruction method for focus observation and diagnosis through an HIFU system

The invention relates to a three-dimensional tumor contour reconstruction method for focus observation and diagnosis through an HIFU system. The three-dimensional tumor contour reconstruction method comprises the following steps: carrying out image scanning on a tumor tissue part through a positioning B ultrasonic probe; Carrying out manual edge hooking on a tumor region and a sensitive region onthe background of the acquired two-dimensional B-ultrasonic image; enabling The constructed three-dimensional contour body to carry out linear difference calculation according to a series of preciselyscanned B-ultrasonic images and the depth of the coronal plane, obtaining image information of the coronal plane, and generating visual coronal plane images with different depths; According to the three-dimensional contour body and the tangent plane, selecting an angle, and planning and treating the tangent plane; Collecting the B-mode ultrasound image again according to the original parameters,manually carrying out edge hooking on an echo enhancement area of the B-mode ultrasound image, and constructing a static three-dimensional contour body image after treatment; And constructing a three-dimensional tumor data storage format. According to the invention, the tumor contour is marked on the two-dimensional image, and then the three-dimensional tumor shape is established. The tangent plane boundary contour in any direction is the intersection line of the tangent plane and the three-dimensional tumor.
Owner:HAIYING ELECTRONIC MEDICAL SYST CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products