Securing Image Data's Using Cellular Automata Techniques

J Subash Chandra Bose¹

¹Associate Professor & Head, Department of Computer Science and Engineering, Professional Group of Institutions, Palladam, India

Abstract

One of the most efficient methods for breast cancer early detection is mammography. It's a new attempt for Securing image data's using cellular automata techniques is presented here. It is done by different stages: first, from the 322 dense mammographic images, originating from the MIAS database we applied these Soft computing techniques like noise removal, segmentation and pectoral muscle extraction, detection of micro calcifications. Finally, the extracted features are fed as input to the Cellular Automata Technique and are classified into different rules. The results are analyzed using MATLAB for Soft Computing Techniques. Securing Image Data's and Detection of Survival for Breast Cancer in Mammogram using Cellular Automata Technique is experimented using Java.

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Cite this Article as Follows

J Subash Chandra Bose. Securing Image Data's Using Cellular Automata Techniques. International Conference on Cryptography and Security 2014. Vol. 1. Chennai: Association of Scientists, Developers and Faculties, 2014. 30-35. Print.