摘要
用图像增强技术处理乳腺钼靶片 ,以识别读原片时难以分辨的微小病灶的细节。此项技术是先对原始图像做小波变换 ,然后利用归一化的差值图像数据调制小波系数 ,最后取变换后小波系数的一部分反变换得到增强图像。将此法与传统的部分小波变换和基于形态学的高帽增强算法比较 ,加权小波系数部分重构增强法在检测微钙化灶方面上优于其他两种方法。
To study a method for enhancing microcalcifications in mammograms which are difficult to be detected by the radiologist. Normalized difference image was used to weight wavelet coefficient, then the enhanced image was obtained by partial wavelet reconstruction. The results were compared with those of conventional partial wavelet reconstruction and morphological operation approaches. The results demonstrate that the weighted wavelet coefficient partial reconstruction method is an effective way to enhance microcalcifications.
出处
《生物医学工程研究》
2004年第2期75-77,101,共4页
Journal Of Biomedical Engineering Research