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基于对比度受限自适应直方图均衡的乳腺图像增强 被引量:28

Mammary image enhancement based on contrast limited adaptive histogram equalization
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摘要 采用对比度受限自适应直方图均衡对乳腺图像进行增强,有效地增强了乳腺图像中的细节,如钙化点、乳导管等组织;并通过对算法中相关参数研究,得到应用于乳腺图像增强的参数优选值,以求获得较好的增强效果,为医师分析影像提供方便。通过与灰度直方图均衡的结果进行比较得出:对比度受限自适应直方图均衡为乳腺数字图像增强的有效方法,在计算机辅助乳腺诊断方面有较高应用价值。 Mammary images are enhanced by algorithm of Contrast Limited Adaptive Histogram Equalization (CLAHE).Details of mammograph,such as calcifications breast,duct and other tissues in mammary image are enhanced effectively.Parameters of algorithm are optimized to improve the enhancement so that diagnostician can analyze image expediently.Comparing with the result of histogram equalization,it is shown that CLAHE is an effective algorithm to enhance mammary image and it is valuable in computer-aided mammary diagnosis.
作者 刘轩 刘佳宾
出处 《计算机工程与应用》 CSCD 北大核心 2008年第10期173-175,共3页 Computer Engineering and Applications
关键词 图像增强 对比度受限自适应直方图均衡 乳腺X线照片 钙化点 image enhancement contrast limited adaptive histogram equalization mammograph calcification
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