A Segmentation Method for Mammogram X-ray Image Based on Image Enhancement with Wavelet Fusion

DOI

10.2991/isrme-15.2015.30How to use a DOI?

Keywords

Breast X-ray image; Wavelet transform; Image enhancement; Image segmentation; Live-wire interactive segmentation algorithm

Abstract

A segmentation method based on image enhancement method with wavelet fusion was proposed to segment X-ray mammogram images with low pixel and unclarity. Firstly, a breast X-ray image was pretreated by histogram equalization and median filtering. Then a wavelet fusion algorithm with the rule of taking large low frequency energy and high-frequency variance was applied to the pretreated image, subsequently producing an enhanced image. Secondly, an improved live-wire interactive segmentation algorithm with qualification to make the shortest path search was used to divide suspicious masses on the enhanced image. Related experiments were carried out on typical data-sources that came from the Mammographic Image Analysis Society mini-database and clinical mammography images, and the results indicated that the algorithm have good effect on image enhancement and segmentation.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhengyou Liang
AU  - Xiaoshan Gou
PY  - 2015/04
DA  - 2015/04
TI  - A Segmentation Method for Mammogram X-ray Image Based on Image Enhancement with Wavelet Fusion
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 122
EP  - 129
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.30
DO  - 10.2991/isrme-15.2015.30
ID  - Liang2015/04
ER  -