Extensive Image Enhancement Techniques for Efficient Micro Classification in Detection of Mammography Masses
Chatakunta Praveen kumar1, Yogesh Kumar Sharma2, K Rajendra Prasad3
1Chatakunta Praveen kumar, Research Scholar, Dept. of CSE, Shri Jagdish Prasad Jhabarmal Tibrewala University, Jhunjhunu-Churu Road, Chudela, Dist. Jhunjhunu – 333001, Rajasthan, India
2Dr. Yogesh Kumar Sharma,, Professor and Head, Dept. of CSE, Shri Jagdish Prasad Jhabarmal Tibrewala University, Jhunjhunu-Churu Road, Chudela, Dist. Jhunjhunu – 333001, Rajasthan, India.
3Dr. K Rajendra Prasad, Professor and Head, Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India.
Manuscript received on 23 August 2019. | Revised Manuscript received on 07 September 2019. | Manuscript published on 30 September 2019. | PP: 4229-4233 | Volume-8 Issue-11, September 2019. | Retrieval Number: K23290981119/2019©BEIESP | DOI: 10.35940/ijitee.K2329.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Digital mammography used for detecting and suspecting the tumors from mammogram images and it is most demanding research in current era. It infers the field of image processing so that key tasks of image processing are useful for radiologists in the medical diagnosis of mammogram images. Image processing play a key role in the diagnosis of either tumors or small masses from mammography images, in which pre-processing or enhancing techniques are required for smooth micro classification analysis. In this paper, proposed technique is presented for improving the quality of mammogram images as well as better classification of mammogram images that helpful for presenting the effective diagnosis for detecting the tumors in digital mammography. In the experimental study, an efficiency of proposed technique is demonstrated with respect to several performance parameters from benchmarked mammogram images.
Keywords: Digital mammography, Calcifications, Enhancement techniques, Pre-processing.
Scope of the Article: Computational Economics, Digital Photogrammetric