Nipple positioning method and device, and storage medium

Abstract

The embodiment of the invention, which belongs to the field of image processing, discloses a nipple positioning method and device, and a storage medium. The method comprises: a grayscale image of a target image is obtained; a target region image is obtained based on the grayscale image; a first image region located at the outer side of a curve in the target region image is determined; and whethera connection region with the area greater than a preset area exists in the first image region is detected to determine a nipple image and a nipple location is determined based on the nipple type. According to the embodiment of the invention, the nipple types are classified into a convex nipple and an invagination nipple; and nipple positioning is carried out by combining the morphological characteristics of the breast tissue region and the nipple type. Therefore, no searching is needed; the computing complexity caused by determining a searching direction and traversing lots of irrelevant pixels during the searching process is reduced; and the computing efficiency is improved. Moreover, with consideration of the morphological characteristics of the breast tissue region, the positioning accuracy is enhanced.

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

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