Hybrid Soft Computing for Multilevel Image and Data Segmentation (Computational Intelligence Methods and Applications) - Hardcover

De, Sourav; Bhattacharyya, Siddhartha; Chakraborty, Susanta

Hardcover

ISBN 10: 3319475231 ISBN 13: 9783319475233

Verlag: Springer, 2016

Inhaltsangabe

<P>THIS BOOK EXPLAINS EFFICIENT SOLUTIONS FOR SEGMENTING THE INTENSITY LEVELS OF DIFFERENT TYPES OF MULTILEVEL IMAGES. THE AUTHORS PRESENT HYBRID SOFT COMPUTING TECHNIQUES, WHICH HAVE ADVANTAGES OVER CONVENTIONAL SOFT COMPUTING SOLUTIONS AS THEY INCORPORATE DATA HETEROGENEITY INTO THE CLUSTERING/SEGMENTATION PROCEDURES.<BR></P><P>THIS IS A USEFUL INTRODUCTION AND REFERENCE FOR RESEARCHERS AND GRADUATE STUDENTS OF COMPUTER SCIENCE AND ELECTRONICS ENGINEERING, PARTICULARLY IN THE DOMAINS OF IMAGE PROCESSING AND COMPUTATIONAL INTELLIGENCE.</P>

Über diesen Titel

Reseña del editor

This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.

This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2016
• ISBN 10: 3319475231
• ISBN 13: 9783319475233
• Einband: Tapa dura
• Sprache: Englisch
• Auflage: 1
• Anzahl der Seiten: 252