Advances in Image Segmentation
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...
محفوظ في:
| التنسيق: | Online |
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| اللغة: | الإنجليزية |
| منشور في: |
IntechOpen
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20210420_9789535108177_1625 |
| الوسوم: |
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| _version_ | 1869521194320920576 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-66267 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-662672024-04-14T10:28:28Z Advances in Image Segmentation Peter Ho, Pei-Gee Image processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision 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. 2021-04-20T15:38:39Z 2021-04-20T15:38:39Z 2012 book ONIX_20210420_9789535108177_1625 9789535108177 9789535157199 https://directory.doabooks.org/handle/20.500.12854/66267 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/3125/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/3425 10.5772/3425 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535108177 9789535157199 IntechOpen 128 open access |
| spellingShingle | Image processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision Advances in Image Segmentation |
| title | Advances in Image Segmentation |
| title_full | Advances in Image Segmentation |
| title_fullStr | Advances in Image Segmentation |
| title_full_unstemmed | Advances in Image Segmentation |
| title_short | Advances in Image Segmentation |
| title_sort | advances in image segmentation |
| topic | Image processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision |
| topic_facet | Image processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision |
| url | ONIX_20210420_9789535108177_1625 |