Method for detecting picture contour based on combination of level set and watershed

Abstract

The invention discloses a method for detecting a picture contour based on the combination of a level set and a watershed, which mainly solves the problem that the prior method generates picture over-segmentation results and cannot obtain an accurate target contour. The method is achieved according to the following steps: (1) detecting the target contour of an input picture by using a level set method to obtain an initial target and a background binary segmentation result; (2) using the detected target contour as an internal control mark of the watershed; (3) performing range conversion and watershed conversion on the internal control mark in turn, and using an obtained watershed line result as an external control mark of the watershed; (4) using the internal control mark and the external control mark to correct a gradient picture of the input picture; and (5) performing the watershed conversion on the corrected gradient picture so as to detect the target contour in the picture. The method avoids the picture over-segmentation, has the advantage of positioning the boundary accurately, and can be applied to segmenting foregrounds and backgrounds and detecting target external contours.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to image segmentation, and in particular to an image contour detection method, which can be used in the technical fields of image segmentation and contour detection, such as the segmentation of objects and backgrounds, and the detection of external contours of objects. Background technique [0002] Image segmentation is the basis of image understanding and pattern recognition. It is widely used in medicine, military, meteorology, climate and other fields. It is a hot and difficult point in current research. Image segmentation and contour detection are closely related, and image segmentation methods can be divided into traditional image segmentation methods and image segmentation methods combined with specific theories. Both the watershed transform and the level set method are image segmentation methods combined with specific theories. [0003] Watershed transform is a regi...

AI Technical Summary

Problems solved by technology

Although the method proposed by Li et al. overcomes the shortcomings of re-initialization in the traditional method, the method cannot accurately locate the edge of the image, resulting in incomplete target detection.

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