Image segmentation method, device, apparatus, and computer-readable storage medium

Abstract

The embodiment of the invention discloses an image segmentation method, a device, equipment and a computer-readable storage medium. The method comprises the following steps: ROI region growth processing is performed on the image to be segmented to extract a region of interest from the image to be segmented as a target detection region image; using a chaotic ant colony algorithm, the edge of the target detection region image is detected to obtain the edge image of the image to be segmented; before extracting the image edge by using the chaotic ant colony algorithm, the application extracts theregion of interest from the image to be segmented instead of the whole image to be segmented for subsequent processing, thereby effectively reducing the image processing and the searching workload ofthe midpoint in the real environment, thereby improving the running speed of the image segmentation method and satisfying the real-time requirement. Because the chaotic ant colony algorithm calculatesthe image threshold value by updating the pheromone matrix so as to obtain the image edge information, which can find the image edge more comprehensively and quickly, thus improving the speed and accuracy of image segmentation.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image segmentation method, device, equipment, and computer-readable storage medium. Background technique [0002] With the rapid development of computer technology, image processing technology has also been developed rapidly. As an important step in image processing, image segmentation has also been developed accordingly. [0003] Image segmentation is the process of dividing the image into several specific regions with unique properties and proposing the target region of interest, which has a great influence on the accuracy of later image analysis. The existing image segmentation methods are mainly divided into the following categories: threshold-based segmentation methods, region-based segmentation methods, edge-based segmentation methods, and segmentation methods based on specific theories. The edge exists between the target and the bac...

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Problems solved by technology

[0006] The purpose of the embodiments of the present invention is to provide an image segmentation method, device, equipment and computer-readable storage medium, which solves the problem that the ant colony algorithm is prone to premature convergence, easy to fall into local optimum, inaccurate edge positioning, and large amount of calculation problems, effectively reduce the workload of image processing and point search in the real environment, and improve the running speed of image segmentation methods

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