Image Processing

Name: Image Processing
Brand: LAP Lambert Academic Publishing
SKU: 9783659255144
Price: 42.49 EUR
Availability: InStock

Texture Segmentation Using Multichannel Filtering And Kohonen s Self Organizing Map

Autor: Meenakshi Pramanik, Parichay Das

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP Lambert Academic Publishing

Dostupnosť: Skladom u dodávateľa

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42.49 €

The texture is very important cue in region based segmentation of images. Texture features play a ve...

Informácie o knihe

Autor

Meenakshi Pramanik, Parichay Das

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2012

Stránok

EAN

9783659255144

Enbook ID

07048887

Vydavateľ

LAP Lambert Academic Publishing

Hmotnosť

126

Rozmery

150 x 220 x 4

Kompletný popis

The texture is very important cue in region based segmentation of images. Texture features play a very important role in computer vision and pattern recognition. Texture Applications include industrial inspection, estimation of object range and orientation, shape analysis, satellite imaging, and medical diagnosis. Texture segmentation can be broken down into two areas, feature extraction and clustering. In this book, we study two stage of feature extraction technique using multichannel filter and self-organizing map. Firstly we study channel filters, also known as 2-D Gabor functions. The texture features are extracted using a multichannel approach. The channels comprise of a set of Gabor filters having different sizes, orientations, and frequencies to constitute feature vector. This feature vectors are then given to Self Organizing map for feature reduction.It is shown that the disadvantage of using Gabor filters in texture analysis, namely, the higher dimensionality of the Gaboriau feature space, is overcome by the reduction in the dimensionality of the feature space achieved by SOM.

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Image Processing

Texture Segmentation Using Multichannel Filtering And Kohonen s Self Organizing Map

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Kompletný popis

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