Clustering Techniques for Image Segmentation

Name: Clustering Techniques for Image Segmentation
Brand: Springer
SKU: 9783030812294
Price: 1990 CZK
Availability: InStock

Autor: Fasahat Ullah Siddiqui, Abid Yahya

Jazyk:

Vazba: Pevná

Vydavatel: Springer

Dostupnost: Skladem u dodavatele

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This book presents the workings of major clustering techniques along with their advantages and short...

Informace o knize

Autor

Fasahat Ullah Siddiqui, Abid Yahya

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2021

Stránek

128

EAN

9783030812294

ISBN

3030812294

Enbook ID

38302729

Vydavatel

Springer

Hmotnost

389

Rozměry

160 x 241 x 12

Kompletní popis

This book presents the workings of major clustering techniques along with their advantages and shortcomings. After introducing the topic, the authors illustrate their modified version that avoids those shortcomings. The book then introduces four modified clustering techniques, namely the Optimized K-Means (OKM), Enhanced Moving K-Means-1(EMKM-1), Enhanced Moving K-Means-2(EMKM-2), and Outlier Rejection Fuzzy C-Means (ORFCM). The authors show how the OKM technique can differentiate the empty and zero variance cluster, and the data assignment procedure of the K-mean clustering technique is redesigned. They then show how the EMKM-1 and EMKM-2 techniques reform the data-transferring concept of the Adaptive Moving K-Means (AMKM) to avoid the centroid trapping problem. And that the ORFCM technique uses the adaptable membership function to moderate the outlier effects on the Fuzzy C-meaning clustering technique. This book also covers the working steps and codings of quantitative analysis methods. The results highlight that the modified clustering techniques generate more homogenous regions in an image with better shape and sharp edge preservation.Showcases major clustering techniques, detailing their advantages and shortcomings;Includes several methods for evaluating the performance of segmentation techniques;Presents several applications including medical diagnosis systems, satellite imaging systems, and biometric systems.

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Clustering Techniques for Image Segmentation

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