Background frame feature-based adhesion rice grain image segmentation method

Abstract

The invention discloses a background frame feature-based adhesion rice grain image segmentation method and belongs to the image segmentation field. The method includes the following steps that: the binary image of a rice grain adhesion region is obtained by means of image preprocessing and image connected region shape analysis; the minimum convex hull image of the rice grain adhesion region is calculated, and a background region image within a minimum convex hull range is extracted, and frame extraction processing is performed on the obtained background region image, and frame end points are obtained on the basis of a frame feature image, and are adopted as segmentation end points; and optimal segmentation positions are obtained by means of by marching and retrieval on the basis of end point matching rules, and segmentation curves are drawn, so that an adhesion rice grain segmentation result can be obtained. The method of the invention can obtain higher accuracy and boundary smoothnessof adhesion rice grain image segmentation. When being applied to a rice grain quality automatic detection system, the method can effectively improve detection precision.

Description

technical field [0001] The invention belongs to the field of image segmentation, and in particular relates to an image segmentation method of cohesive rice grains based on background skeleton features. Background technique [0002] With the rapid development of computer vision technology, there are more and more applications of vision technology in rice quality inspection research. In the actual detection of rice appearance quality, the positions of rice grains are often random, and there are a lot of rice grains sticking together. How to correctly segment the image of sticking rice grains is the premise of accurately analyzing the appearance quality of rice grains. [0003] In the past, the quality inspection of rice mainly used manual methods, which had many problems. With the development of computer technology, machine vision technology is applied to grain quality analysis, which has the advantages of convenience, objectivity and reliability. At present, many researcher...

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Problems solved by technology

[0006] The object of the present invention is to provide the segmentation problem of the sticky rice grain image and good robustness, and solve the problem of poor adaptability to the rice grain with a large aspect ratio. A kind of sticky rice grain image segmentation method based on the background skeleton feature

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