Contour extraction method based on brightness characteristic and contour integrity

Abstract

The invention discloses a contour extraction method based on the brightness characteristic and the contour integrity, and belongs to the crossing field of computer vision and pattern recognition. The contour extraction method aims to completely extract a contour of an object out of a complex environmental background. The contour extraction method includes the step of obtaining a maximum energy response diagram, the step of carrying out non-classic receptive field restraint on brightness characteristic modulation, the step of extracting the contour of the object and carrying out postprocessing on a high-low self-adaptive threshold value and the like based on a probability model, and the step of processing the nearest neighbor orientation consistency connection rupture contour based on the contour integrity. A Gabor filter is used for simulating response of a human simple cell classic receptive field to obtain the maximum Gabor energy response diagram; the brightness characteristic of images is used for restraining the maximum Gabor energy response diagram and rejecting grain and other non-target contours; the postprocessing on the high-low self-adaptive threshold value and the like based on the probability model is carried out on the obtained target contour; rupture points of the nearest neighbor orientation consistency connection contour based on the contour integrity are processed. The contour of the object can be extracted well, and a contour diagram of integrity connection is obtained after the contour of the object is processed.

Description

technical field [0001] The invention belongs to the intersection field of image processing, computer vision technology and pattern recognition, and specifically relates to a contour extraction method based on brightness features and contour integrity. Background technique [0002] Contour detection plays an important role in computer vision. However, natural image information contains a lot of noise and complex background interference information. The edges and contours of the subject are often submerged in these information, so the contour extraction of the subject is very complicated. The traditional edge detection method cannot distinguish the object contour from the texture edge information, so it is difficult to detect the contour of the object effectively. The human visual system can easily detect the outline of the target object from natural images, so it is necessary to simulate the human visual system and establish a computer vision system similar to the human visua...

AI Technical Summary

Problems solved by technology

[0004] The problem to be solved by the present invention is to overcome the defects of the existing non-classical receptive field suppression contour detection method

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