30results about How to "Separate accurately" patented technology

The invention discloses a semi-supervised multi-spectral remote sensing image segmentation method based on spectral clustering; the segmentation process includes that: (1) the characteristics inputted to the multi-spectral sensing image are extracted; (2) N points without labels and M points with labels are randomly and evenly sampled from a multi-spectral sensing image with S pixel points to form a set n which is the summation of N and M, wherein M points with labels are used for creating pairing limit information Must-link and Cannot-link sets; (3) the sampled point set is analyzed through semi-supervised spectral clustering to obtain the class labels of the n (n=N+M) points; (4) the sampled n (n=N+M) points are used as the training sample to classify the rest (S-N-M) points through nearest-neighbor rule, each pixel point is assigned with a class label according to the class of the pixel point and is used as the segmentation result of the inputted image. Compared with prior art, the invention has good image segmentation effect, strong operability, improves the classification accuracy, avoids searching the optimum parameters through repeated test, has small limit on image size and is better applicable to the segmentation of multi-class multi-spectral sensing images.

The invention provides a method for segmenting a white blood cell image, which is characterized by comprising the following steps: firstly carrying out binaryzation on the green component picture of a color white blood cell image to obtain an initial interested region based on a significance attention mechanism of human vision; carrying out cancellation and mergence on a region by labeling the initial interested region to obtain an adaptive significance window of each cell; and finally realizing segmentation of nucleuses and cytoplasm in each adaptive significance window by a boundary-extending method. The segmentation method is used to realize the fast segmentation of the white blood cells, particularly the accurate segmentation for high-capacity pictures which are the non-standard dyed and contain overlapped cells.

The invention discloses a grating type stereoscopic display device which comprises a display panel and a plurality of parallel gratings. The display panel is used for displaying an N-viewpoint view formed by arranging rectangular pixels in equal sizes, the clearances between the rectangular pixels form a plurality of first parallel black lines and a plurality of second black lines perpendicular to the first black lines, and the intersection points of the first black lines and the second black lines are black matrix intersection points. The parallel gratings are arranged in front of the display panel in an overlapped mode, and the grating pitch of each grating is a set value so that when at least one of the two parallel edges of each grating crosses with two adjacent first black lines, intersection points formed through crossing cannot be overlapped with the black matrix intersection points of two adjacent first black lines. The device and a method are used for solving the technical problem that in the prior art, serious Moire patterns exist on the displayed image of a naked-eye stereoscopic display device.

The invention discloses a detection method for identifying the American classical PRRSV strain, the HP-PRRSV strain and a new-type viral NADC30 strain at the same time. In the method, a multiplex real-time fluorescence RT-PCR for identifying three kinds of strains at the same time is established based on an ABI7500 fluorescent quantitative PCR instrument, wherein the strains include the classical PRRSV strain, the highly-pathogenic HP-PRRSV strain with the deletion of L-amino acid at the 481st locus of the Nsp2 gene and the continuous deletion of 29 amino acids at the 533ird-561st loci of the Nsp2 gene, and NADC30like; specific primers and specific probes for the three kinds of strains are designed respectively based on the Nsp2 gene, universal primers and universal probes for PRRSV are designed according to the relatively conserved N gene, missing detection caused by Nsp2 region mutation can be effectively prevented, and false negative can be avoided.

The invention discloses an unknown individual recognition method and device for radar signals. The method comprises the steps: constructing and storing a known category sample set N and an unknown category sample set UN; inputting each to-be-identified sample in the known category sample set N and each to-be-identified sample in the unknown category sample set UN into a coding network, extractingfeature vectors of the to-be-identified samples, and classifying the to-be-identified samples; generating an attention probability distribution vector by using a DDPG algorithm according to the feature vector of the to-be-identified sample; generating a conditional feature vector according to the feature vector and the attention probability distribution vector of the to-be-identified sample, and inputting the conditional feature vector into a decoding network to judge the category of the to-be-identified sample; performing network training in a coding network, a decoding network and a DDPG algorithm. The method has the advantages that unknown signals are prevented from being mistakenly recognized as certain known signals, and the known signals and the unknown signals are accurately separated.

The invention discloses a generalized zero-sample target classification method and device based on external distribution sample detection and related equipment. According to the method, an external distribution sample detector is trained by utilizing data of known classes and corresponding class semantic attributes, and each class is expressed as von Mises-Fisher (vMF) distribution in an implicitspace, so that a flow pattern boundary of each class is obtained. According to the flow pattern boundary of the known class, the provided external distribution sample detector can distinguish the characteristics of the unknown class from the characteristics of the known class. Therefore, the generalized zero sample classification problem can be simplified into a supervised classification problem and a traditional zero sample target classification problem, the feature confusion problem and the deviation problem in the generalized zero sample classification problem are avoided, and therefore thegeneralized zero sample classification performance is greatly improved. The method can be applied to an application environment which lacks training data and needs to identify unknown samples, such as an intelligent robot system, an intelligent recommendation system, a social media information filtering system and the like.

The invention relates to the field of nano medicine, and especially relates to a fluorescence imaging probe, a preparation method and applications thereof. The nano fluorescence imaging probe comprises a material having a metal-organic skeleton structure and heavy metal ions. The probe can enter lung cancer cells through endocytosis. The nano fluorescence imaging probe can stimulate different lung cancer cells to generate different contents of metallothionein, then the probe can combine with metallothionein, then the probe and metallothionein are discharged from the cells, and the amount of residual nano fluorescence imaging probe in cells will determine the intensity of cell fluorescence images, so according to the difference of intensity of cell fluorescence images, the lung squamous cell carcinoma and lung adenocarcinoma can be precisely differentiated.

The invention discloses a visual inspection method for defects of a transparent package IC, which comprises the following steps of: firstly, placing a product to be inspected on inspection equipment,selecting different visual devices according to different surfaces of the product so as to acquire image information of each surface of the product, and uploading the image information to a processor;wherein the processor compares the image information with a standard image of the OK product, finds out a defective product, and selects a corresponding algorithm for each defect of the product according to the form of the defect in the image; then, extracting defect features of each surface of the product with the defects, and judging the forms and the existing positions of the defects; detecting again through the algorithm to obtain the specific information of the product OK and NG and the defect type of the NG product; and finally, allowing the processor to send the detected product information to the PLC, and allowing the PLC to accurately separate the OK product from the NG product. According to the visual detection method, the transparent packaged IC can be rapidly detected, the detection speed is higher, and the detection efficiency and the detection precision are higher.

The invention provides a specific primer for identifying donkey-sourced components in colla corii asini, a kit and an identifying method. A large quantity of primers are designed on the basis of CYT Band COX-1 genes of donkey; through screening and research on the primers, a primer with species specificity is screened; the primer with species specificity can be used for identifying donkey-sourcedcomponents in colla corii asini and accurately separating donkey from other adulterants; a PCR amplification product thereof is only 70-120 bp and molecular weight is small; identification for a large quantity of donkey-sourced components in colla corii asini in a short time can be guaranteed; an identification result is accurate, stable, reliable and highly sensitive.

The invention provides a Gram staining leucorrhea smear color microscopic image segmentation method and system, and relates to the technical field of digital image processing, and the method comprises the steps: collecting and inputting a Gram staining leucorrhea standard smear; carrying out downsampling and normalization on the collected cell image to obtain a standard size image; converting the standard size image into a single-channel grayscale image; processing the single-channel grayscale image, and excluding a target-free image; separating R, G and B channels in the color image, and performing normalization processing; obtaining and calculating an intersection part of the positive target area and the negative target area, and taking a union set as a mixed negative and positive target; cutting an area in which the negative and positive targets are mixed to form all independent negative and positive targets; and obtaining and classifying area information of each independent target, carrying out targeted form recognition, and counting the number to output a recognition result. According to the invention, possibility can be provided for subsequent cellular morphology recognition, and the preprocessing problem of an input image in target recognition is solved.

The invention provides a specific primer, a probe, a kit and a method for detecting barley component. A large number of primers are designed based on FDH, GLU2a, RBCL, ACPS and UDPg genes of barley, and primers and probes with species specificity are screened out through a large number of primer screening researches. When the primers and the probes are used for detecting barley component in a sample to be detected, barley and other species adulterants can be accurately separated, the absolute detection sensitivity reaches 0.2 copies/microliter, the relative sensitivity can reach 0.5%, and theidentification result is accurate, stable and reliable.

The invention provides a method for identifying Bama minipigs through ISSR molecular marking. By specifically combining a specific DNA extraction process, a specific PCR amplification primer and a specific PCR amplification system, an unknown sample can be identified accurately based on distinguishing of Bama minipigs, Huanjiang minipigs, Tibetan pigs, local Bama pigs and Chenghua pigs, so that whether a pig is a Bama minipig is judged. By the adoption of the method, identification is quick, the result is reliable, and the development of the Bama minipig industry can be promoted.

A mold stripping structure of an injection mold comprises a fixed mold and a movable mold. The fixed mold comprises a first fixed mold core, a second fixed mold core and a fixed mold base. The first fixed mold core and the second fixed mold core are embedded in the fixed mold base. A through hole for allowing penetration of an inclined guide column is formed in one side, back on to the second fixed mold core, of the first fixed mold core. The inclined guide column is abutted against the movable mold. A guide rod is arranged above the first fixed mold core and comprises a horizontal section and an inclined section. The lower surface of the horizontal section is fixed to the top of the inclined guide column. A movable block capable of moving along the inclined section sleeves the inclined section and can move on the inclined section. A forming rod is arranged below the movable block. The inclined guide column can drive the first fixed mold core and the forming rod to be separated from a product during mold stripping, so that mold stripping efficiency is improved greatly, mold stripping steps are reduced, and product integrity is improved.

The invention provides a specific primer, a probe, a test kit and a method for detecting sugarcane components. According to the invention, a large number of primers are designed on the basis of the ITS gene, rbcl gene, nsLTP gene and NDR1/HIN1 gene of sugarcane; meanwhile, through screening research on the large number of primers, a primer and a probe with species specificity are screened out; andthe above-mentioned primer and probe can be used for detecting the sugarcane components in a to-be-detected sample, can accurately separate sugarcane from species, can reach an absolute detection sensitivity of 0.4 copies/[mu]L and a relative detection sensitivity of 0.01%, and have accurate, stable and reliable identification results.

The invention discloses an EST-SSR primer developing based on transcriptome sequence of wax gourd and an application of the EST-SSR primer. The SSR locus of transcriptome sequence of the wax gourd isscreened, and primers are designed according to nucleotide sequences on the two sides of the SSR locus to obtain the EST-SSR primer. Three pairs of EST-SSR primer are used to amplify the wax gourd resources, and labeling results verified by an automatic nucleic acid protein analyzer can be applied to construction of artificial drawing of a schematic diagram of variety identification of the wax gourd. The wax gourd resources can be quickly and accurately distinguished according to the amplification results of the SSR, each resource can be effectively identified, and the EST-SSR primer can be used for germplasm identification, germplasm resources management, variety rights identification and protection and the like of varieties of benincasa plants in our country.