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Concave Image Segmentation Method Based on GSA

A technology of image segmentation and concave shape, which is applied in image analysis, image enhancement, image data processing, etc., can solve the problems of unsatisfactory concave image effect and low calculation efficiency of Snake model, so as to improve the degree of sharpening, improve the accuracy, good controllability

Active Publication Date: 2019-06-11
北京凌壹时代通信技术有限公司
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: Aiming at the problem of low computational efficiency of the Snake model and unsatisfactory processing of concave images, a GSA-based concave image segmentation method is designed. Force, bending force and image force, under the premise of ensuring the original sequence of the snake element, allow the snake element to quickly and evenly fit around the target contour, especially fit into the concave area of ​​the image

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  • Concave Image Segmentation Method Based on GSA
  • Concave Image Segmentation Method Based on GSA
  • Concave Image Segmentation Method Based on GSA

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[0049] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments, but it should not be construed as a limitation on the technical solution. In the following description, numerous specific details are given in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without one or more of these details. In other examples, some technical features known in the art are not described in order to avoid confusion with the present invention.

[0050] figure 1 The overall flow of the multi-objective path planning method of the present invention is given; please refer to figure 1 , the following is a detailed description of each step in the method:

[0051] Step S101: Perform grayscale preprocessing on the entire image, in order to make the features of the original image more obvious; ...

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Abstract

The invention discloses a concave image segmentation method based on GSA. First, the original image is processed in grayscale, then the GSA model is used to complete the convergence of the initial snake element, and finally the final convergence of the snake element is completed through a greedy algorithm; the method of the invention Normalize the image to balance the continuous force, bending force and image force. Under the premise of ensuring the original sequence of the snake element, the snake element can be quickly and evenly fitted around the target contour, especially the fit to the image In the concave area, while retaining the high-efficiency calculation advantages of the GSA model, the accuracy of contour extraction is improved. In particular, the proposed method handles the contour extraction of concave objects very well.

Description

technical field [0001] The invention relates to a concave image segmentation method based on GSA Background technique [0002] In the research of computer vision, traditional object detection is mainly through image segmentation and edge detection through a bottom-up process. This process takes less account of the characteristics of the target itself, so it is not effective enough. The snake model, also known as the active contour model, was first proposed by Kass et al. This method has been widely used in image segmentation, detection, recognition and other fields. Different from traditional image segmentation methods, the Snake model makes full use of the characteristics of the target image itself, combining information such as the size, position, and shape of the image with features such as grayscale and gradient of the image. At present, the Snake model has become the most commonly used method for image target detection. [0003] There are some problems in the traditi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/149G06T7/13G06T7/12
CPCG06T5/002G06T2207/20116
Inventor 程乐宋艳红史梦安王志勃徐义晗潘永安刘万辉郜继红郭艾华黄丽萍
Owner 北京凌壹时代通信技术有限公司
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