Design of Unsupervised Learning for Automatic Segmentation

Language: English

Published by LAP LAMBERT Academic Publishing Jul 2019, 2019

6200224668 / 9786200224668

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This item is printed on demand - Print on Demand Titel. Neuware -The image segmentation is used to change or simplify the image representation for the purpose of easy understanding or quicker analysis. Image segmentation is a process of segmenting an image into groups of pixels based on some criterions. Image segmentation is the process of partitioning a digital image into multiple segments. The purpose of image segmentation is to partition an image into meaningful regions with respect to particular application. The image segmentation is used for various applications such as medical images, Satellite images, content based image retrieval, machine vision, Recognition Tasks and Video Surveillance. There are so many methods used for segmentations such as compression based methods, thresholding, and clustering. The clustering methods can be divided into two parts namely supervised and unsupervised. Supervised clustering involves predefining the cluster size for segmenting whereas unsupervised segmentation segments by its own cluster values.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch.

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Title
Design of Unsupervised Learning for Automatic Segmentation
Author
B. Suresh Kumar
Publisher
LAP LAMBERT Academic Publishing Jul 2019
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6200224668
ISBN 13
9786200224668
Item weight
221 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

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