Name: Clustering Techniques for Image Segmentation (en Inglés)
Price: 89970.00 CLP
Availability: InStock
Author: Siddiqui, Fasahat Ullah ; Yahya, Abid
ISBN: 9783030812294

portada Clustering Techniques for Image Segmentation (en Inglés)

Clustering Techniques for Image Segmentation (en Inglés)

Formato

Libro Físico

Autor

Fasahat Ullah Siddiqui

Abid Yahya

Editorial

Springer

Idioma

Inglés

N° páginas

108

Encuadernación

Tapa Dura

Dimensiones

24.1 x 16.5 x 1.0 cm

Peso

0.36 kg.

ISBN13

9783030812294

Categorías

Ingeniería: general
Ingeniería electrónica
Aplicaciones gráficas y multimedia

Clustering Techniques for Image Segmentation (en Inglés)

Fasahat Ullah Siddiqui (Autor) · Abid Yahya (Autor) · Springer · Tapa Dura

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Reseña del libro "Clustering Techniques for Image Segmentation (en Inglés)"

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.