Segmentation Methods Based On Logistic Type Mixture Model

Language: English

Published by LAP LAMBERT Academic Publishing Dez 2020, 2020

6203199044 / 9786203199048

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This item is printed on demand - Print on Demand Titel. Neuware -This Book contributes analysis and development of image segmentation algorithms based on finite logistic type mixture models. These techniques are much useful in a variety of applications such as medical images, filming, and video, security surveillance, face recognition, gesture analysis. Image segmentation is a prerequisite for computer vision and human-computer interactions. Image segmentation is an important domain of research in computer science and allied areas due to its ready applicability in designing and developing several systems. The image segmentation is a process in which the pixels in the image are grouped such that they form a number of meaningful regions that are homogeneous within the regions, heterogeneous between the regions. Several image segmentation techniques have been developed with various considerations. A comparative study is carried with developed algorithms and with earlier existing models based on image segmentation algorithm with Gaussian mixture model. It is observed that the three-parameter logistic type mixture model with hierarchical clustering algorithm better than that of a Gaussian mixture model with K-means and two-parameter logistic type.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch.…

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Title
Segmentation Methods Based On Logistic Type Mixture Model
Author
Venkata Satyanarayana Kalahasthi
Publisher
LAP LAMBERT Academic Publishing Dez 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6203199044
ISBN 13
9786203199048
Item weight
298 grams
Dimensions
220x150x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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