Multi-target interactive image segmentation method and device

Abstract

The invention provides a multi-target interactive image segmentation method and device. The method comprises the following steps that (1) an image to be segmented is inputted, and a duplicate image of the image to be segmented is established; (2) an interactive seed point is selected in the image to be segmented, and a target area gray scale section is confirmed according to the interactive seed point and the initially set similarity rule; (3) a global threshold is obtained according to the gray scale histogram curve of the image to be segmented, and the duplicate image is segmented according to the relation between the target area gray scale section and the global threshold; (4) connection analysis is performed on a target area in which the interactive seed point is positioned according to the interactive seed point so that a target area template in which the interactive seed point is positioned is obtained; and (5) the steps (2)-(4) are repeated so that the required segmented multi-target template is obtained, and the image to be segmented is filled according to the multi-target template. Reliable segmentation of the target area can be guaranteed by the technical scheme, and interactive multi-target combined segmentation and management can also be realized.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a multi-target interactive image segmentation method and device. Background technique [0002] Image segmentation is to divide the image into some meaningful areas, and then describe these areas, which is equivalent to extracting the features of some target area images, and judging whether there are targets of interest in the image. The basis of image segmentation is the similarity and jump between pixels. The so-called "similarity" means that the pixels in a certain area have certain similar characteristics, such as the same gray scale and the same texture; There are many methods of image segmentation, which can be divided into interactive segmentation and automatic segmentation according to whether manual participation in the segmentation process is required. Due to the large differences in the types and formats of target images existing in automatic segmentation at th...

AI Technical Summary

Problems solved by technology

This method has high complexity and low image segmentation efficiency. It needs to traverse the image data multiple times to update the storage area of ​​the target, and it is difficult to achieve multi-target segmentation and management.

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