Overview
Medical image analysis using advanced fuzzy set theoretic techniques is an exciting and dynamic branch of image processing. Since the introduction of fuzzy set theory, there has been an explosion of interest in advanced fuzzy set theories—such as intuitionistic fuzzy and Type II fuzzy set—that represent uncertainty in a better way. Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques deals with the application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, this higher-level text: Provides a brief introduction to advanced fuzzy set theory, fuzzy/intuitionistic fuzzy aggregation operators, and distance/similarity measures Covers medical image enhancement using advanced fuzzy sets, including MATLAB®-based examples to increase contrast of the images 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 by applying intuitionistic fuzzy clustering Highlights the edges of poorly illuminated images and uses intuitionistic fuzzy edge detection to find the edges of different regions Defines fuzzy mathematical morphology and explores its application using the Lukasiewicz operator, t-norms, and t-conorms Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques is useful not only for students, but also for teachers, engineers, scientists, and those interested in the field of medical image analysis. A basic knowledge of fuzzy set is required, along with a solid understanding of mathematics and image processing.
Full Product Details
Author: Tamalika Chaira
Publisher: Taylor & Francis Inc
Imprint: CRC Press Inc
Dimensions:
Width: 15.60cm
, Height: 1.80cm
, Length: 23.40cm
Weight: 0.470kg
ISBN: 9781498700450
ISBN 10: 1498700454
Pages: 236
Publication Date: 28 January 2015
Audience:
College/higher education
,
General/trade
,
Tertiary & Higher Education
,
General
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
The book treats the most commonly used fuzzy methods in medical image analysis. It does focus on widely used approaches and refrains from methods, which are still under investigations. This increases its value for practitioners, senior students and young researchers Clearly. The book has been written by a dedicated professional (I do not know the author and have never met her). It should be on the desk of everybody who works on medical image analysis and researching the potentials of fuzzy systems. Hamid R. Tizhoosh, Affiliation: University of Waterloo, Canada This book focuses on the application of clustering algorithms based on intuitionistic fuzzy set model [s]and their application in segmenting and analyzing medical images. I would like to keep a copy of the book on my shelf. Dr.B.K.Tripathy, VIT University, India
Author Information
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.
