Modified K- Medoids Algorithm For Image Segmentation : Application of Clustering in Image Processing

Language: English

Published by LAP Lambert Academic Publishing, 2012

3659167452 / 9783659167454

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nach der Bestellung gedruckt Neuware - Printed after ordering - Clustering as a segmentation technique gives a vector of N measurements describing each pixel or group of pixels (i.e., region) in an image, a similarity of the measurement vectors and therefore their clustering in the N-dimensional measurement space implies similarity of the corresponding pixels or pixel groups. Therefore, clustering in measurement space may be an indicator of similarity of image regions, and may be used for segmentation purposes. This book investigates efficient and effective clustering and soft computing algorithms for image segmentation.The improved algorithm for K-medoids clustering incorporates histogram equalization as its first step to reduce the number of centroids. The algorithm calculates the best optimal medoids and uses them for segmentation to reduce the time complexity without much affecting the intercluster similarity.

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Title
Modified K- Medoids Algorithm For Image Segmentation : Application of Clustering in Image Processing
Author
Amit Yerpude
Publisher
LAP Lambert Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659167452
ISBN 13
9783659167454
Item weight
118 grams
Dimensions
22.00x15.00x0.40 cm

AHA-BUCH GmbH

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