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Advances in Image Segmentation
Pei-Gee Peter Ho
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- 128 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Advances in Image Segmentation
Pei-Gee Peter Ho
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About This Book
The field of digital image segmentation is continually evolving. Most recently, the advanced segmentation methods such as Template Matching, Spatial and Temporal ARMA Processes, Mean Shift Iterative Algorithm, Constrained Compound Markov Random Field (CCMRF) model and Statistical Pattern Recognition (SPR) methods form the core of a modernization effort that resulted in the current text.This new edition of "Advanced Image Segmentation" is but a reflection of the significant progress that has been made in the field of image segmentation in just the past few years. The book presented chapters that highlight frontier works in image information processing.
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