摘要
本文通过对一维和二维乳腺图象信号的实验分析 ,提出了利用小波变换实现微细钙化点图象增强与提取的方法 ,即通过选择适当尺度的细节子图组合进行合成 ,得到对比度增强的钙化点图象 ;再经过阈值处理 ,提取出钙化点。根据本文方法对实际的乳腺X光片进行了实验 。
We proposed an image enhancement and detection method for microcalcifications in digital mammograms, based on wavelet transformation and thresholding. The enhancement of microcalcifications was achieved by selecting the coefficients within distinct levels of scale space to make microcalcification more obvious. The thresholding was used to distinguish the microcalcifications with background. The method was tested on 42 images, with and without microcalcifications, and results showed the proposed method was suited for the enhancement and segmentation of microcalcifications.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2001年第3期254-258,216,共6页
Chinese Journal of Biomedical Engineering
基金
上海市科委启明星计划
上海市教委发展基金资助项目
关键词
乳腺图象
小波变换
钙化点
图象增强
图象提取
Digital mammograms
Wavelet transform
Enhancement and segmentation of microcalcification
