Mammary image enhancement based on contrast limited adaptive histogram equalization

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (10): 173-175.

• 图形、图像处理 • Previous Articles Next Articles

Mammary image enhancement based on contrast limited adaptive histogram equalization

LIU Xuan¹,LIU Jia-bin²

1.School of Mechanical Engineering and Automation，Beihang University，Beijing 100083，China
2.Department of Radiology，Xuanwu Hospital，Capital University of Medical，Beijing 100053，China

Received:2007-07-18 Revised:2007-10-29 Online:2008-04-01 Published:2008-04-01
Contact: LIU Xuan

基于对比度受限自适应直方图均衡的乳腺图像增强

刘轩¹,刘佳宾²

1.北京航空航天大学机械工程及自动化学院，北京 100083
2.首都医科大学宣武医院放射科，北京 100053

通讯作者: 刘轩

Abstract

Abstract: 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.

Key words: image enhancement, contrast limited adaptive histogram equalization, mammograph, calcification

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。

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

LIU Xuan¹,LIU Jia-bin². Mammary image enhancement based on contrast limited adaptive histogram equalization[J]. Computer Engineering and Applications, 2008, 44(10): 173-175.

刘轩¹,刘佳宾². 基于对比度受限自适应直方图均衡的乳腺图像增强[J]. 计算机工程与应用, 2008, 44(10): 173-175.

[1]	TANG Zilin, LIU Xiang, ZHANG Xing. Adaptive Enhancement Algorithm for Non-uniform Illumination Images [J]. Computer Engineering and Applications, 2021, 57(21): 216-223.
[2]	WANG Xiaopeng, YANG Wenting, WEN Haotian. Remote Sensing Water Image Enhancement Using Adaptive Morphology [J]. Computer Engineering and Applications, 2021, 57(12): 186-192.
[3]	DU Yuyi, WANG Pengzhang, DUO Huaqiong, DONG Yingda. Enhancement Algorithm of Mongolian Furniture Pattern Based on Quantile in Frequency Domain [J]. Computer Engineering and Applications, 2021, 57(12): 207-210.
[4]	CHEN Yingchun. Fast Low-Light Image Enhancement Based on Tone Mapping [J]. Computer Engineering and Applications, 2020, 56(9): 234-239.
[5]	SHENG Longshuai, LI Ce, LI Xin. Classification of Mammography Based on Attention Mechanism [J]. Computer Engineering and Applications, 2020, 56(8): 166-170.
[6]	YUAN Xiaoping, CUI Qiwen, CHENG Gan, ZHANG Xia, ZHANG Yi, WANG Suyuan. Improved Gabor Self Quotient Image Algorithm and Its Application to Face Recognition [J]. Computer Engineering and Applications, 2020, 56(5): 206-213.
[7]	YANG Jie, HU Mingdi, LI Li, ZHAI Xiaohong, XU Tianyi, ZHANG Zhongmao. Research on Classification Method of Mammography on Human Network [J]. Computer Engineering and Applications, 2020, 56(24): 164-168.
[8]	ZHU Deli, YANG Degang, WAN Hui, YANG Yunong. Adaptive Color Preserving Algorithm for Low Illumination Image Enhancement [J]. Computer Engineering and Applications, 2019, 55(24): 190-195.
[9]	WANG Yingbo1, LIU Jian2. Salient Object Detection Method Based on Power Law Transformation and IGLC Algorithm [J]. Computer Engineering and Applications, 2019, 55(14): 168-176.
[10]	WANG Zhongmin1，2, DUAN Na1, FAN Lin1. Object Tracking Algorithm Fused with YOLO Detection and Meanshift [J]. Computer Engineering and Applications, 2019, 55(10): 186-192.
[11]	ZHANG Guimei1, LIU Fengrui1, LIU Jianxin2. Construction of adaptive degree model for fractional order differential operator in image enhancement [J]. Computer Engineering and Applications, 2018, 54(3): 184-191.
[12]	TIAN Min, ZHANG Yinhui, HE Zifen, WANG Sen. Method of gear vision detection based on joint model matching [J]. Computer Engineering and Applications, 2018, 54(23): 170-175.
[13]	CHENG Zhao1，2, WANG Heming1, TANG Yongkang2, ZHANG Ying1. Detail enhancement analysis based hardware Trojan detection using thermal maps [J]. Computer Engineering and Applications, 2018, 54(16): 86-92.
[14]	FAN Xiaopeng1，2，3，4, ZHU Feng1，3，4. Human gray-scale perception modeling and its application in image enhancement [J]. Computer Engineering and Applications, 2018, 54(13): 209-215.
[15]	WANG Yongxin1，2, DIAO Ming1, HAN Chuang2. Underwater image enhancement and color correction model based on homomorphic filter [J]. Computer Engineering and Applications, 2018, 54(11): 30-34.

Mammary image enhancement based on contrast limited adaptive histogram equalization

基于对比度受限自适应直方图均衡的乳腺图像增强

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics