How to Image structure?

SAR (Synthetic Aperture Radar) image object detection method based on Primal Sketch algorithm,Method for converting the coordinates of image data by way of random offset of the picture elements,Full-blind image quality evaluation method based on multi-dimensional visual feature cooperation under saliency modulation,X-ray security check system with corresponding person identity and luggage

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SAR (Synthetic Aperture Radar) image object detection method based on Primal Sketch algorithm

InactiveCN102129559AAccurate target detection resultsFalse Alarm Rate ReducedCharacter and pattern recognitionSynthetic aperture radarInverse synthetic aperture radar

The invention discloses an SAR (Synthetic Aperture Radar) image object detection method based on a Primal Sketch algorithm, mainly solving the problem that the traditional object detection method cannot realize the detection on different types of artificial objects. The implementing process of the SAR image object detection method based on the Primal Sketch algorithm comprises the following steps of: (1) obtaining a line segment aggregation expressing image structure information by applying the Primal Sketch algorithm to original SAR images; (2) defining and calculating the regularity degree and the regularity ratio of all line segments in the line segment aggregation; (3) determining a seed line segment aggregation for region growing; (4) executing the region growing by taking the seed line segments as the reference to obtain a candidate object region aggregation including artificial objects and natural objects; and (5) screening according to the characteristics of the line segments in the candidate object region aggregation to obtain final artificial objects, namely bridges, ports and buildings. Compared with the prior art, the detection method disclosed by the invention has the advantages of strong applicability, capability of realizing the detection on different types of artificial objects, exact detection result and low false alarm rate; and the invention is suitable for the SAR image object detection under the condition of multiple object types and different sizes of objects.

SAR (Synthetic Aperture Radar) image object detection method based on Primal Sketch algorithm

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Owner:XIDIAN UNIV

Method for converting the coordinates of image data by way of random offset of the picture elements

InactiveUS6931163B1No disturbing patternsAvoid disadvantagesGeometric image transformationCharacter and pattern recognitionTransformation equationComputer graphics (images)

In a method for converting the coordinates of image data, the positions of new picture elements in a new coordinate system are calculated by means of coordinate transformation equations from the positions of initial picture elements in an initial coordinate system. The positions of the new picture elements are randomly modified in a variation range around the positions calculated by way of the coordinate transformation. For this purpose, random values are added to the calculated coordinates of the new picture elements. The method can be used in case of scale conversions, image rotation, etc. to improve the quality of the converted image. The method avoids both the corruption of the image structures caused by coordinate conversion and the formation of disruptive moire patterns. The method can be combined with known methods for calculating the color values of the new picture elements, such as the nearest-neighbor method or the interpolation method.

Owner:HEIDELBERGER DRUCKMASCHINEN AG

Full-blind image quality evaluation method based on multi-dimensional visual feature cooperation under saliency modulation

ActiveCN112233065AExpression distortionFull distortionImage enhancementImage analysisImaging qualityVision based

The invention belongs to the technical field of image processing, and discloses a full-blind image quality evaluation method based on multi-dimensional visual feature cooperation under saliency modulation, and the method comprises the steps: obtaining a distorted image block of a to-be-detected distorted image, and extracting an image quality perception feature; taking the image quality perceptionfeatures of all distorted image blocks as a to-be-measured feature vector matrix; fitting the obtained feature vector matrix to be measured based on visual saliency to obtain a visual model to be measured; and finally, calculating the Mahalanobis distance between the visual model to be measured and the standard visual model to obtain the objective quality score of the distorted image to be measured. According to the method, a feature descriptor used for expressing image contrast distortion and hue distortion is constructed in combination with human vision primary perception features, and high-order natural scene statistical features, image structure features and color features of the image are combined, so that image distortion is expressed more comprehensively.

Owner:NORTHWEST UNIV

X-ray security check system with corresponding person identity and luggage

PendingCN114419700AAccurate identificationImprove efficiencyImage enhancementImage analysisFeature extractionComputer graphics (images)

The invention discloses an X-ray security check system with corresponding person identity and luggage, which comprises a master control module, a passenger information collection module and an X-ray security check scanning module, and is characterized in that the passenger information collection module comprises a face recognition comparison sample library, the passenger information collection module is electrically connected with a comparison module, and the comparison module is electrically connected with the X-ray security check scanning module; the X-ray security check scanning module is electrically connected with the passenger information collection module, the passenger information collection module comprises a face recognition unit and an image data feature extraction unit, and the face recognition unit and the luggage information collection unit are subjected to same parameter matching through the master control module; an image data feature extraction unit is additionally arranged in a passenger information collection module, a security check image imaging structure calculation unit is additionally arranged in an X-ray security check scanning module, through calculation and matching of a large number of data values, a face and a luggage bag can be accurately recognized, system tracking is provided, corresponding luggage can be itinerant even if the luggage bag is lost or switched, and the safety of the luggage bag is improved. And the searching efficiency and accuracy are improved.