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This higher-level text provides a brief introduction to advanced fuzzy set theory, fuzzy/intuitionistic fuzzy aggregation operators, and distance/similarity measures. It covers medical image enhancement using advanced fuzzy sets, including MATLAB-based examples to increase contrast of the images. In addition, the book describes intuitionistic fuzzy and Type II fuzzy thresholding techniques that separate different regions/leukocyte types/abnormal lesions, demonstrates the clustering of unwanted lesions/regions even in the presence of noise, uses intuitionistic fuzzy edge detection to find the…mehr

Produktbeschreibung
This higher-level text provides a brief introduction to advanced fuzzy set theory, fuzzy/intuitionistic fuzzy aggregation operators, and distance/similarity measures. It covers medical image enhancement using advanced fuzzy sets, including MATLAB-based examples to increase contrast of the images. In addition, the book describes intuitionistic fuzzy and Type II fuzzy thresholding techniques that separate different regions/leukocyte types/abnormal lesions, demonstrates the clustering of unwanted lesions/regions even in the presence of noise, uses intuitionistic fuzzy edge detection to find the edges of different regions, and discusses fuzzy mathematical morphology.

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Autorenporträt
Tamalika Chaira is a research scientist in the Department of Biotechnology, Government of India, and the Indian Institute of Technology Delhi, New Delhi. Previously, she was a research associate at the National Research Council (CNR), Pisa, Italy. She holds a bachelor's degree from Bihar Institute of Technology, Sindri, Jharkhand, India; a master's degree from Bengal Engineering and Science University, Shibpur, Howrah, India; and a Ph.D from the Indian Institute of Technology, Kharagpur, West Bengal. She is an author of the book Fuzzy Image Processing and Applications with MATLAB, as well as numerous papers. She also received the prestigious National Award (Innovative Young Biotechnologist Award, 2010) from the Government of India.