Nipple positioning method, device and storage medium

Abstract

The embodiment of the invention discloses a nipple positioning method, device and storage medium, belonging to the field of image processing. The method includes: acquiring a grayscale image of the target image; acquiring an image of the target area according to the grayscale image; determining a first image area located outside the curve in the image of the target area; detecting whether there is a connection with an area larger than a preset area in the first image area. The area determines the nipple type, and the nipple position is determined based on the nipple type. In the embodiment of the present invention, the types of nipples are divided into protruding nipples and concave nipples, and the nipples are located according to the morphological characteristics of the breast tissue area, without searching, which reduces the need to determine the search direction and traverse a large number of The calculation complexity caused by irrelevant pixels improves the calculation efficiency, and takes into account the morphological characteristics of the breast tissue area, thereby improving the positioning accuracy.

Description

technical field [0001] Embodiments of the present invention relate to the field of image processing, in particular to a nipple positioning method, device and storage medium. Background technique [0002] Digital imaging technology is currently the main way to detect breast cancer. It can digitally photograph target users under the control of a computer to generate breast tissue images. Breast tissue images are widely used in breast cancer detection, and nipple positioning is a key step in the detection process. Only when the nipple position is accurately positioned can the subsequent detection process be carried out. [0003] see figure 1 In the related art, breast DR (Digital Radiography, digital X imaging) technology is usually used to shoot breast DR images, and an image segmentation algorithm is used to segment the foreground area and background area of ​​the breast DR image, and determine the edge direction of the pectoralis muscle, and divide the edge of the pectorali...

AI Technical Summary

Problems solved by technology

[0004] In the process of implementing the embodiments of the present invention, the inventors found that the above-mentioned related technologies have at least the following problems: First, the search process needs to traverse a large number of irrelevant pixels, which increases the computational complexity and leads to low computational efficiency

Second, it is difficult to accurately determine the direction of the edge of the pectoral muscle in practical applications, so it is also difficult to accurately determine the search direction, and it is not considered that the position of the farthest pixel searched in some abnormal situations does not represent the position of the nipple, resulting in accurate positioning sex is not guaranteed

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