Image Segmentation
It was estimated that 80% of the information received by human is visual. Image processing is evolving fast and continually. During the past 10 years, there has been a significant research increase in image segmentation. To study a specific object in an image, its boundary can be highlighted by an i...
Պահպանված է:
| Ձևաչափ: | Online |
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| Լեզու: | անգլերեն |
| Հրապարակվել է: |
IntechOpen
2021
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| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20210420_9789533072289_331 |
| Ցուցիչներ: |
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| _version_ | 1869520734772002816 |
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| collection | Directory of Open Access Books |
| description | It was estimated that 80% of the information received by human is visual. Image processing is evolving fast and continually. During the past 10 years, there has been a significant research increase in image segmentation. To study a specific object in an image, its boundary can be highlighted by an image segmentation procedure. The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image. There are many algorithms and techniques have been developed to solve image segmentation problems, the research topics in this book such as level set, active contour, AR time series image modeling, Support Vector Machines, Pixon based image segmentations, region similarity metric based technique, statistical ANN and JSEG algorithm were written in details. This book brings together many different aspects of the current research on several fields associated to digital image segmentation. Four parts allowed gathering the 27 chapters around the following topics: Survey of Image Segmentation Algorithms, Image Segmentation methods, Image Segmentation Applications and Hardware Implementation. The readers will find the contents in this book enjoyable and get many helpful ideas and overviews on their own study. |
| format | Online |
| id | doab-20.500.12854ir-64975 |
| 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-649752024-04-14T10:28:28Z Image Segmentation Ho, Pei-Gee Image processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision It was estimated that 80% of the information received by human is visual. Image processing is evolving fast and continually. During the past 10 years, there has been a significant research increase in image segmentation. To study a specific object in an image, its boundary can be highlighted by an image segmentation procedure. The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image. There are many algorithms and techniques have been developed to solve image segmentation problems, the research topics in this book such as level set, active contour, AR time series image modeling, Support Vector Machines, Pixon based image segmentations, region similarity metric based technique, statistical ANN and JSEG algorithm were written in details. This book brings together many different aspects of the current research on several fields associated to digital image segmentation. Four parts allowed gathering the 27 chapters around the following topics: Survey of Image Segmentation Algorithms, Image Segmentation methods, Image Segmentation Applications and Hardware Implementation. The readers will find the contents in this book enjoyable and get many helpful ideas and overviews on their own study. 2021-04-20T15:06:12Z 2021-04-20T15:06:12Z 2011 book ONIX_20210420_9789533072289_331 9789533072289 9789535155201 https://directory.doabooks.org/handle/20.500.12854/64975 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/99/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/628 10.5772/628 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789533072289 9789535155201 IntechOpen 552 open access |
| spellingShingle | Image processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision Image Segmentation |
| title | Image Segmentation |
| title_full | Image Segmentation |
| title_fullStr | Image Segmentation |
| title_full_unstemmed | Image Segmentation |
| title_short | Image Segmentation |
| title_sort | 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_9789533072289_331 |