Chaira Medical Image Processing

Advanced Fuzzy Set Theoretic Techniques
Erscheinungsjahr 2015
ISBN: 978-1-4987-0047-4
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 236 Seiten

In sharp contrast with the classical crisp image processing techniques, fuzzy/advanced set theoretic techniques provide elegant methodologies for many image processing tasks. This book covers fuzzy/advanced fuzzy set theoretic approaches for medical image analysis are included. It include theories on application of intuitionistic fuzzy set and Type II fuzzy set theory in medical image processing such as image enhancement, image thresholding, clustering, edge detection, fuzzy mathematical morphology along with experimental details and results of these areas.

Autoren/Hrsg.

Chaira, Tamalika

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Intuitionistic fuzzy set and Type II fuzzy set
Introduction
intuitionistic fuzzy set
Some operations on intuitionistic fuzzy sets
Fuzzy complement and intuitionistic fuzzy generator
Intuitionistic fuzzy relation
Composition of intuitionistic fuzzy relation (supremum-infimum)
Composition of IFR using t norm and t co norm
Interval valued intuitionistic fuzzy set
Type II fuzzy set

Medical image processing
Introduction
Image contrast enhancement
Image segmentation
Boundary detection
Morphology
Image registration
Image retrieval
Fuzzy processing of medical images
Advanced fuzzy processing of medical images
Some application on advanced fuzzy set in medical image processing
Image contrast enhancement
Image segmentation
Image clustering
edge detection
Fuzzy morphology
Summary

Fuzzy operators
Introduction
Fuzzy operators
Fuzzy operators induced by T norm and T co norm
T norm
T co norm
Fuzzy aggregation operator
Weighted averaging operator
Ordered weighted averaging operator
Intuitionistic fuzzy weighted averaging operator
Summary

Intuitionistic fuzzy/Type II fuzzy Similarity, distance measures and entropy
Introduction
Similarity measure
Distance measure
Different types of distance and similarity measures
The intuitionistic fuzzy measure
Intuitionistic fuzzy information measure
Intuitionistic fuzzy entropy
Entropy of interval valued intuitionistic fuzzy set (IVIFS)
Similarity measure and distance measures of IVIF
Summary

Intuitionistic fuzzy image enhancement
Introduction to enhancement
Fuzzy image contrast enhancement
Fuzzy methods in contrast enhancement
Contrast enhancement using intensification operator
Contrast Improvement using Fuzzy Histogram Hyperbolization
Contrast enhancement using IF-THEN rules
Contrast Improvement using Fuzzy Expected Value
Intuitionistic fuzzy enhancement methods
Intuitionistic fuzzy enhance (method-I)
Image enhancement (Method II)
Hesitancy histogram equalization (method III)
Enhancement method by Chaira (method V)
Contrast enhancement by Chaira (method VI)
Image enhancement using Type II fuzzy set
Type II fuzzy Enhancement (method I)
Enhancement using Hamacher T conorm (method II)
Enhancement using Type II fuzzy set (method III)
Examples using MATLAB Type II fuzzy image enhancement using Hamacher T conorm Intuitionistic fuzzy enhancement
Summary

Intuitionistic fuzzy image thresholding
Introduction
Threshold detection methods
Global thresholding
Iterative thresholding
Optimal thresholding
Locally adaptive thresholding
Locally adaptive and optimal thresholding
Fuzzy thresholding methods
Fuzzy Divergence method
Fuzzy geometry method
Fuzzy clustering method
Intuitionistic fuzzy threshold detection methods
Intuitionistic fuzzy entropy based method
Intuitionistic fuzzy divergence based method
Intuitionistic fuzzy window based thresholding
Thresholding using Type II fuzzy set theory
Segmenting leukocyte images
Examples using MATLAB Type II fuzzy thresholding Intuitionistic windowed thresholding
Summary

Intuitionistic fuzzy clustering of medical images
Introduction to clustering
Kernel clustering
Kernel Clustering methods
Intuitionistic fuzzy c means clustering (IFCM)
Kernel based intuitionistic fuzzy clustering
Color clustering
Color model
Type II fuzzy clustering
Summary

Intuitionistic fuzzy edge detection
Introduction to edge detection
Fuzzy edge methods
Fuzzy Sobel edge detector
Entropy based fuzzy method
Fuzzy template based edge detector
Intuitionistic fuzzy edge detection methods
Intuitionistic fuzzy divergence method
Edge detection is using median filter
Fuzzy edge image using interval valued fuzzy relation
Construction of enhanced fuzzy edge using Type II fuzzy set
Accurate edge detection of abnormal lesions
Examples using MATLAB
Summary

Fuzzy morphology
Introduction
Preliminaries on morphology
Fuzzy mathematical morphology
Fuzzy morphology using membership function
Fuzzy morphology using Lukasiewics operator
Fuzzy morphology using T norms and T co norms
Opening and closing operation
Fuzzy morphology in image processing
Edge detection
Intuitionistic fuzzy approach
Examples using MATLAB
Summary