A method and device for image segmentation

Abstract

The present invention provides an image segmentation method and apparatus. The method comprises the steps of acquiring a first to-be-processed image and a second to-be-processed image that are identical; pre-processing the first to-be-processed image and then converting the pre-processed first to-be-processed image into a gradient image; acquiring a mark point set of each first area in the gradient image and coordinate values and a gray value of a pixel of the gradient image; and determining coordinate values of each pixel on a contour line of a to-be-segmented target area according to the foregoing parameters, a pre-established foreground grayscale histogram and a pre-established background grayscale histogram, and setting a color different from the to-be-segmented target area for an area except the to-be-segmented target area on the second to-be-processed image, so as to segment the to-be-segmented target area. Through adoption of the method and apparatus, rapid yet accurate segmentation is realized.

Description

technical field [0001] The invention relates to the technical field of detection, in particular to an image segmentation method and device. Background technique [0002] With the development of my country's economy and society, people's quality of life has been significantly improved. The demand for meat products is not only satisfied in quantity, but also has high requirements for the quality of meat products. The quality and safety of pork products are closely related to the people's expectations The quality of life is closely related. Pig breeding is not only related to the development of my country's economy, but also related to people's livelihood and national economy and social stability. However, epidemics pose a serious threat to pig breeding and production. Therefore, segmenting specific pig images is of great significance for future pig target detection, recognition, and disease diagnosis and treatment. With the development of image processing technology, image seg...

AI Technical Summary

Problems solved by technology

The watershed algorithm has good robustness, but it is easily affected by noise; the over-segmentation phenomenon of the adaptive watershed algorithm is very serious, which can easily lead to the loss of image target information or too much segmentation; the LazySnapping algorithm performs segmentation, which can realize the extraction of specific colors

[0004] For segmentation objects with single color, fuzzy edges and low contrast, complex background objects may be similar to target feature values, and the problem that the specific target that the user wants to select is not easy to segment is still unsolved.

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