Image real boundary high-precision extraction method and system

Abstract

The invention provides an image real boundary high-precision extraction method and system, and the method comprises the steps: converting an original image into a binary image, and carrying out the boundary extension; utilizing a Suzuki contour tracking detection algorithm to obtain a pixel center of one pixel in an outermost boundary contour line in the binary image after edge expansion; settinga corresponding coordinate offset, and obtaining pixel coordinates of the outermost boundary pixel point on the unexpanded binary image; traversing all boundary pixel points, judging the 8 neighborhood position relationship between the next boundary pixel point and the current boundary pixel point one by one, and adding a true boundary vertex to generate a true boundary vertex set without pixel difference; removing repeated boundary vertexes to obtain a non-redundant true boundary vertex set; judging the continuity of the true boundary vertex set to obtain a non-redundant and continuous true boundary vertex set; when the image boundary is selected to be compressed, compressing and storing the boundary vertex set. The defects of Suzuki contour tracking detection can be overcome, so that thereal and complete outermost boundary of the image can be obtained.

Description

technical field [0001] The invention belongs to the field of digital image processing, in particular to a method and system for extracting real boundaries of images with high precision. Background technique [0002] Boundary or edge extraction refers to a process of image contour in digital image processing. In the grayscale image, for the boundary, the place where the grayscale value changes most drastically is defined as the edge. In a binary image, the boundary between the white area (value 255) and the black area (value 0) is the boundary, where the outer border is defined as between any l pixel group and the 0 pixel group directly surrounding it The set of 1 boundary points of , and the inner boundary (hole border) is defined as the set of 1 boundary points between the hole and the l pixel group directly surrounding it. The analysis and research of image real boundary extraction has extremely high application value in the fields of image stitching (especially the high...

AI Technical Summary

Problems solved by technology

Through this technical solution, two problems existing in the Suzuki contour tracking detection method can be solved when tracking the outer boundary: (1) Sometimes the boundary points of some areas on the boundary may not be obtained (2) There is generally a 0.5 pixel distance deviation in obtaining the boundary points , the main purpose is to obtain the real and complete outermost boundary of the image, thereby significantly improving the integrity and accuracy of the image's outermost boundary extraction, and avoiding cumulative errors and seam lines when stitching multiple non-real boundary images Gap and other issues

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