Digital mammographic image analysis and data compression

被引：0

作者：

Lin, HD ^{[1
]}

Lin, KP ^{[1
]}

Lou, SL ^{[1
]}

机构：

[1] CYCU, Dept Elect Engn, Chungli, Taiwan

来源：

PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND | 1998年 / 20卷

关键词：

digital mammogram; segmentation; mammographic image; gradient detection; breast; image compression; compression rate;

D O I：

暂无

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

This paper proposes a digital mammogram segmentation method for mammographic images, which is based on the gradient detection between breast tissue and non-tissue area. Virtually, detection of tissue edge in medical image is closely related to the correctness of image segmentation. In this paper, we focus on digital mammograms and develop an edge detection method to extract breast tissue against background with noise and/or random artifacts, as a preprocess of image compression. The results show that the developed method performs a precise recovery of boundary between breast tissue and non-tissue area, which is then removed for increasing compression rate. Therefore, problems of image transmission efficiency and data storage amount can be greatly improved. The compression rate is promoted from 3:1 to 5-6:1 by a non-lossy compression method.

引用

页码：1025 / 1027

页数：3