Background frame feature-based adhesion rice grain image segmentation method

An image segmentation and skeleton image technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of good robustness and poor adaptability of rice grains, and achieve the effect of good robustness and poor adaptability

Inactive Publication Date: 2018-08-28
HARBIN ENG UNIV
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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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  • Background frame feature-based adhesion rice grain image segmentation method
  • Background frame feature-based adhesion rice grain image segmentation method
  • Background frame feature-based adhesion rice grain image segmentation method

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Embodiment Construction

[0063] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing:

[0064] combine figure 1 , figure 1 It is the main flow chart of the method of the present invention. The sticky rice grain segmentation method based on background skeleton feature of the present invention is mainly made of three steps: the preprocessing of step 1 image, the extraction of step 2 image segmentation point, step 3 segmentation feature point matching. Where step 1 is connected to step 2, and step 2 is connected to step 3.

[0065] combine figure 2 Step 1 will be described in detail. figure 2 It is a schematic diagram of image preprocessing, step 1 is image preprocessing. Step 1 includes four parts: 1-1) image grayscale, 1-2) image denoising, 1-3) image binarization, 1-4) determine the area of ​​cohesive rice grains.

[0066] Step 1-1) First, the image collected by the camera is a three-dimensional color image, which needs to be...

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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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/136
CPCG06T2207/30188G06T7/136
Inventor 李冰王峥何超
Owner HARBIN ENG UNIV
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