NDLI: Tumor Demarcation of Mammography Images Using Entropy with Different Window Sizes

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2008 First International Conference on Emerging Trends in Engineering and Technology

Tumor Demarcation of Mammography Images Using Entropy with Different Window Sizes

Content Provider	IEEE Xplore Digital Library
Author	Kekre, H.B. Gharge, S.
Copyright Year	2009
Abstract	A technique is proposed for detection of tumor in digital mammography. We here proposed a statistical parameters such as probability and entropy based image segmentation of mammographic images. This algorithm is consists of three stages. First we compute probability of each quantization level of the image and replace every pixel by its probability to generate probability image. On this image we perform histogram equalization. Then we compute entropy for every pixel using different window sizes. By applying different thresholds on probability and entropy images a segmentation is performed.The results are compared with well known co-occurrence matrix method using probability and entropy. Experimental results show that our algorithm gives better results for mammographic images.
Starting Page	889
Ending Page	894
File Size	404483
Page Count	6
File Format	PDF
ISBN	9781424452507
DOI	10.1109/ICETET.2009.228
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Histograms Costs Filtering Image edge detection Probability Mammography Entropy Breast cancer Neoplasms
Content Type	Text
Resource Type	Article

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