Comparative Study on Segmentation Using Texture Models: With IDL Solution - Tapa blanda

Angeline, D.Magdalene Delighta; James, I.Samuel Peter

 
9783848414307: Comparative Study on Segmentation Using Texture Models: With IDL Solution
Tapa blanda
ISBN 10: 3848414309 ISBN 13: 9783848414307
Editorial: LAP LAMBERT Academic Publishing, 2012

Sinopsis

Image segmentation is the process of partitioning digital images into multiple segments sets of pixels for the purpose of being able to analyze that image for certain features. The field of "computer vision" and image segmentation was born around the mid 1960s - almost a decade before the introduction of personal computers! Automatic segmentation techniques have come a long way since the 1960s, however there is a very long way still to go.There are many different ways to perform image segmentation, including Thresholding methods, such as Otsu’s method; Clustering methods, such as K-means and principle components analysis; Transform methods, such as watershed; Texture methods, such as texture filters. This book elaborately discuss about texture method, the inherent assumptions of different approaches make about, what constitutes a good segment, and also emphasize general mathematical tools that are promising.

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Reseña del editor

Image segmentation is the process of partitioning digital images into multiple segments sets of pixels for the purpose of being able to analyze that image for certain features. The field of "computer vision" and image segmentation was born around the mid 1960s - almost a decade before the introduction of personal computers! Automatic segmentation techniques have come a long way since the 1960s, however there is a very long way still to go.There are many different ways to perform image segmentation, including Thresholding methods, such as Otsu's method; Clustering methods, such as K-means and principle components analysis; Transform methods, such as watershed; Texture methods, such as texture filters. This book elaborately discuss about texture method, the inherent assumptions of different approaches make about, what constitutes a good segment, and also emphasize general mathematical tools that are promising.

Biografía del autor

D.Magdalene Delighta Angeline is a Lecturer/CSE in Dr.G.U.Pope College of Engineering. I.Samuel Peter James is a Lecturer/CSE in Chandy College of Engineering. Both had published more papers in national conferences,international conferences and in international journals.Their current research area is Image Processing,Neural Network and Data Mining.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3848414309
ISBN 13 
9783848414307
Encuadernación
Tapa blanda
Número de páginas
80
Contacto del fabricante
no disponible
Persona responsable
no disponible