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Comparative Study on Segmentation Using Texture Models


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  • Product Description

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.

Product Specifications
SKU :COC17632
AuthorD.Magdalene Delighta Angeline and I.Samuel Peter James
Number of Pages80
Publishing Year2/28/2012
Edition1 st
Book TypeComputer networking & communications
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-26 00:00:00
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