IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS)

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ISSN 2321-5992

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IMPACT FACTOR

EFFICIENT PREPROCESSING TECHNQIUE FOR MAMMOGRAM IMAGE ENHANCEMENT, Authors : S.PITCHUMANI ANGAYARKANNI, Dr.NADIRA BANU KAMAL, Dr.RANJIT JEBA THANGAIYA,IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS) ,http://www.ipasj.org/IIJCS/IIJCS.htm

Volume & Issue no: Volume 5, Issue 11, November 2017


Title:
EFFICIENT PREPROCESSING TECHNQIUE FOR MAMMOGRAM IMAGE ENHANCEMENT
Author Name:
S.PITCHUMANI ANGAYARKANNI, Dr.NADIRA BANU KAMAL, Dr.RANJIT JEBA THANGAIYA
Abstract:
ABSTRACT The main objective of CAD system is to improve the diagnostic accuracy with consistency of radiological interpretation with output references. The main focus should be on reduction of image reading recall rate which is very essential in medical science. Breast cancer is considered to be a dreadful disease. It is considered to be challenging research area. Electronic image of the breast is captured using digital mammogram. These images are of low-contrast, noisy, fuzzy and blurred. Therefore mammogram images should be pre-processed and enhanced for efficient detection of cancerous masses. Interpretations of mammogram images are very difficult and therefore there is a need for an efficient and effective pre-processing and enhancement methods. The proposed research work incorporates a modified fuzzy based approach. The proposed work is a modified approach in which the input image is histogram equalized. The rule based fuzzy logic approach is used for image preprocessing and enhancement. Several performance metrics are used to evaluate the performance and efficiency of the proposed pre-processing technique. Keywords: Image pre-processing, Histogram equalization, Fuzzy logic and Performance metrics.
Cite this article:
S.PITCHUMANI ANGAYARKANNI, Dr.NADIRA BANU KAMAL, Dr.RANJIT JEBA THANGAIYA , " EFFICIENT PREPROCESSING TECHNQIUE FOR MAMMOGRAM IMAGE ENHANCEMENT " , IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS), Volume 5, Issue 11, November 2017 , pp. 017-021 , ISSN 2321-5992.
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