Könyv Image Processing Meenakshi Pramanik

Image Processing

Texture Segmentation Using Multichannel Filtering And Kohonen s Self Organizing Map

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
16 462 Ft
The texture is very important cue in region based segmentation of images. Texture features play a ve...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2012
oldal
72
EAN
9783659255144
Enbook ID
07048887
Súly
126
Méretek
150 x 220 x 4

Teljes leírás

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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