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A image feature fast segmentation method based on curvature analysis

An image feature and segmentation algorithm technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problem of large amount of calculation, reduce the amount of calculation, etc., and achieve the effect of good corner positioning accuracy

Active Publication Date: 2019-01-25
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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Problems solved by technology

The multi-scale corner detection algorithm makes the judgment conditions of corner points more stringent. After parameter optimization, it can reduce the amount of calculation and ensure the reliability and accuracy of detection. However, because it detects at multiple scales, the amount of calculation is relatively large.

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  • A image feature fast segmentation method based on curvature analysis
  • A image feature fast segmentation method based on curvature analysis
  • A image feature fast segmentation method based on curvature analysis

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Embodiment Construction

[0019] A kind of image feature fast segmentation method based on curvature analysis of the present invention will be described in detail below in conjunction with accompanying drawing and a typical specific embodiment, and this algorithm specifically comprises the following parts:

[0020] First, the zero-order geometric continuous processing is performed on the input image, and the steps are as follows:

[0021] The algorithm uses the Canny operator to perform edge detection on the image to obtain discrete edge points, and uses the 8-neighborhood boundary tracking algorithm to screen out the edge points with spatial continuity in the image, and performs edge connection and short edge removal on the continuous edges, and finally adopts The method of Gaussian evolution smoothes the continuous edge to further enhance the spatial continuity of edge points.

[0022] The discrete edge points in the image are transformed into a set of edge points with spatial continuity after zero-o...

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Abstract

The invention relates to an image feature fast segmentation method based on curvature analysis. The method includes the following steps: the image is processed by zero-order geometric continuity, including boundary tracing, edge joining and Gaussian evolution; The high-order geometric continuity of continuous edges mainly includes curvature calculation and curvature maximum screening, that is, detecting the corner points in the image, thus realizing the image feature segmentation; The curvature analysis method is used to recognize the edge points after segmentation and distinguish the featuresof straight line and curve. The invention designs a fast curvature analysis method for image feature separation, which effectively reduces the calculation amount of image segmentation and identification, and has better corner positioning accuracy compared with an existing method.

Description

technical field [0001] The invention relates to the field of computer image processing, in particular to a method for rapidly segmenting image features based on curvature analysis. Background technique [0002] The visual measurement system has been relatively maturely used in the measurement of the pose parameters of flying targets in the fields of aviation, spaceflight, and national defense. The visual measurement technology mainly uses the shape features of the target to solve the pose parameters, and the shape feature detection algorithm of the image is the prerequisite for realizing the visual measurement of the pose parameters. Straight lines and curves are common features on space flight targets, and are important elements in digital images that constitute objects to be recognized. Quickly and accurately extracting the shape features of targets from images is of great significance for accurately obtaining the pose parameters of targets. Therefore, the detection, sepa...

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Application Information

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IPC IPC(8): G06T7/13G06T7/12G06T7/181G06T7/64
CPCG06T7/12G06T7/13G06T7/181G06T7/64G06T2207/20164
Inventor 谌德荣王泽鹏宫久路王鹏飞彭林科胡宏华陈乾韩肖君
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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