Contact
How to shop
Delivery
Shopping guide
Image Processing
Texture Segmentation Using Multichannel Filtering And Kohonen s Self Organizing Map
English
106 b
30-day return policy
Customers also purchased
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.
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Paperback
25.99
€
/
Hardback
26.70
€
/
Paperback
16.28
€
/
Hardback
58.07
€
