Amit yerpude (3 risultati)

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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 121,32
EUR 29,15 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 41,67
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yerpude AmitB.E. (Computer Science and Engg with 1st Division )and M. Tech.(Computer Technology With Honors)Clustering as a segmentation technique gives a vector of N measurements describing each pixel or group of pixels (i.e., .…

Modified K- Medoids Algorithm For Image Segmentation : Application of Clustering in Image Processing
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 70,99
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. 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.…