Design of Unsupervised Learning for Automatic Segmentation: Medical Image Segmentation - Couverture souple

Kumar, B. Suresh

 
9786200224668: Design of Unsupervised Learning for Automatic Segmentation: Medical Image Segmentation
Couverture souple
ISBN 10 : 6200224668 ISBN 13 : 9786200224668
Editeur : LAP LAMBERT Academic Publishing, 2019

Synopsis

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.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2019
Langue
anglais
ISBN 10 
6200224668
ISBN 13 
9786200224668
Reliure
Broché
Nombre de pages
136
Coordonnées du fabricant
non disponible
Personne responsable
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