IMAGE ENHANCEMENT AND SEGMENTATION USING SOFT COMPUTING TECHNIQUES

Name: IMAGE ENHANCEMENT AND SEGMENTATION USING SOFT COMPUTING TECHNIQUES
Brand: LAP LAMBERT Academic Publishing
SKU: 9786203929980
Price: 53.48 EUR
Availability: InStock

Autor: C. Nagaraju, Rambabu Pemula

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP LAMBERT Academic Publishing

Dostupnosť: Skladom u dodávateľa

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This book describes image segmentation at multiple scales by integrating with different structures....

Informácie o knihe

Autor

C. Nagaraju, Rambabu Pemula

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2021

Stránok

136

EAN

9786203929980

ISBN

6203929980

Enbook ID

36744117

Vydavateľ

LAP LAMBERT Academic Publishing

Hmotnosť

221

Rozmery

150 x 220 x 8

Kompletný popis

This book describes image segmentation at multiple scales by integrating with different structures. These techniques relying on boundary, textured and non-textured information for image segmentation at multiple scales. This work argues that the issues of scale selection and structure detection cannot be treated separately for segmentation. Soft computing techniques are most suitable for addressing this kind of problems. Fuzzy image segmentation is a task that classifies pixels of an image using different labels so that the image partitioned into non-overlapped labeled regions. In this dissertation fuzzy clustered based techniques are studied and developed Fuzzy Entropy technique, Rule based Type-II fuzzy logic, Edge detection based on gradient fuzzy logic, Generalized Fuzzy C-means and Fuzzy Entropy triangular model for super resolution images. The experiments have been done on well-known image data bases and the results are produced in the form of tables and graphs for objective analysis and outputs of input images are placed for subjective analysis.

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