Image Processing

Name: Image Processing
Brand: LAP Lambert Academic Publishing
SKU: 9783659255144
Price: 235.46 RON
Availability: InStock

Texture Segmentation Using Multichannel Filtering And Kohonen s Self Organizing Map

Autor: Meenakshi Pramanik, Parichay Das

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Editura: LAP Lambert Academic Publishing

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235.46 lei

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

Informații despre carte

Autor

Meenakshi Pramanik, Parichay Das

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2012

Pagini

EAN

9783659255144

Enbook ID

07048887

Editura

LAP Lambert Academic Publishing

Greutate

126

Dimensiuni

150 x 220 x 4

Descriere completă

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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