By Tamalika Chaira
Medical photograph research utilizing complex fuzzy set theoretic ideas is a thrilling and dynamic department of snapshot processing. because the creation of fuzzy set concept, there was an explosion of curiosity in complex fuzzy set theories—such as intuitionistic fuzzy and kind II fuzzy set—that characterize uncertainty in a greater way.
Medical photograph Processing: complex Fuzzy Set Theoretic Techniques offers with the appliance of intuitionistic fuzzy and sort II fuzzy set theories for scientific snapshot research. Designed for graduate and doctorate scholars, this higher-level text:
- Provides a quick advent to complex fuzzy set concept, fuzzy/intuitionistic fuzzy aggregation operators, and distance/similarity measures
- Covers scientific picture enhancement utilizing complex fuzzy units, together with MATLAB®-based examples to extend distinction of the images
- Describes intuitionistic fuzzy and kind II fuzzy thresholding ideas that separate assorted regions/leukocyte types/abnormal lesions
- Demonstrates the clustering of undesirable lesions/regions even within the presence of noise by way of making use of intuitionistic fuzzy clustering
- Highlights the sides of poorly illuminated photos and makes use of intuitionistic fuzzy part detection to discover the perimeters of other regions
- Defines fuzzy mathematical morphology and explores its software utilizing the Lukasiewicz operator, t-norms, and t-conorms
Medical photograph Processing: complex Fuzzy Set Theoretic Techniques comes in handy not just for college students, but additionally for lecturers, engineers, scientists, and people drawn to the sphere of scientific picture research. A simple wisdom of fuzzy set is needed, besides a superior figuring out of arithmetic and snapshot processing.
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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques by Tamalika Chaira