Preprocessing method and preprocessing system used for extracting breast regions in mammographic images

A line image and preprocessing technology is applied in the field of preprocessing for extracting breast regions from mammography images, which can solve problems such as inability to accurately locate the nipple region, improve execution efficiency and execution effect, and achieve low computational complexity and high execution. The effect of efficiency

Inactive Publication Date: 2013-03-06
SHENZHEN LANDWIND IND
View PDF4 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention proposes a preprocessing method and system for extracting mammary gland regions from mammogram images, by removing the background and labels of the mammogram images, using global automatic threshol

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Preprocessing method and preprocessing system used for extracting breast regions in mammographic images
  • Preprocessing method and preprocessing system used for extracting breast regions in mammographic images
  • Preprocessing method and preprocessing system used for extracting breast regions in mammographic images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Such as figure 1 As shown, the preprocessing method of extracting mammary gland region in the mammogram that the present invention proposes, it comprises following implementation steps:

[0038] Step S11 , performing automatic threshold segmentation on the mammogram to generate a baseline.

[0039] The input mammogram image as figure 2 shown. First, use the Otsu global adaptive threshold algorithm to generate the global threshold T of the mammogram image, and then perform binarization processing on the mammogram image according to the global threshold T to generate a binary image BI, such as image 3 shown. Among them, in the binarized image BI, pixel 1 is displayed as white, marking the background (air) part; pixel 0 is displayed as black, marking the mammary gland area; and the dividing line between pixel 1 and pixel 0 is called the baseline (Baseline), Such as Figure 4 shown.

[0040] In addition, in the binary image BI, the black area (ie breast area) and th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a preprocessing method and a preprocessing system used for extracting breast regions in mammographic images. The method includes steps: subjecting the mammographic images to automatic threshold segmentation to obtain binary images; subjecting communicated regions in the binary images to filling processing to remove labels and holes in the mammographic images; dividing the binary images into a plurality of subregions, and binarizing each subregion according to local threshold value to position breast contour regions; subjecting the binary images and the breast contour regions to set 'and' operation, searching number of pixel points in each subregion containing difference in the binary images along a reference line from top to bottom, and positioning the subregion with maximum number of pixel points in regions containing difference to be nipple regions. By overall automatic threshold segmentation and local threshold analysis, the breast regions and the nipple regions in the mammographic images can be accurately positioned, the preprocessing process is low in computation complexity, and execution efficiency is high.

Description

technical field [0001] The invention relates to a medical image processing method, in particular to a preprocessing method and system for extracting mammary gland regions from mammogram images. Background technique [0002] The clarity and contrast of the original mammography images (mammography) are often insufficient. In order to help clinicians better diagnose the disease, the original images need to be processed and enhanced. However, mammography images have background, label and other interference information, and different breast regions have different image properties, so different enhancement algorithms need to be used for processing. Therefore, it is necessary to preprocess and segment the input raw breast images. [0003] Most of the current mammography image segmentation algorithms are simple single-threshold segmentation, which results in poor accuracy of breast regions and rough edges. [0004] The Chinese patent application with application number 20091010065...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/60G06T5/00A61B6/02
Inventor 赵明康雨
Owner SHENZHEN LANDWIND IND
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products