Advances in Image Segmentation / / edited by Pei-Gee Ho.
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...
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| Place / Publishing House: | Rijeka, Croatia : : Intech,, [2012] ©2012 |
| Year of Publication: | 2012 |
| Language: | English |
| Physical Description: | 1 online resource (128 pages) :; illustrations |
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| Summary: | 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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| Bibliography: | Includes bibliographical references. |
| ISBN: | 9535157191 |
| Access: | Open access |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | edited by Pei-Gee Ho. |