Securing Image Data’s Using Cellular Automata Techniques
Subtitle: ICCS 2014
Publisher: Association of Scientists, Developers and Faculties
Published: 2014
Place of publication: Bangkok, Thailand
Language: eng
Format: Hardcopy
Number of pages: 309
ISBN-13: 9788192523354
Description: 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.