Voronoi based face segmentation
Image segmentation, decomposition of a gray level or color image into homogeneous tiles, is arguably the most important low-level vision task. Homogeneity is usually defined as similarity in pixel values. Segmentation is a fundamental process in digital image processing which has found extensive app...
| Main Authors: | , |
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| Format: | Book Section |
| Language: | English |
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Penerbit UTM, Universiti Teknologi Malaysia
2008
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| Online Access: | http://eprints.utm.my/28151/2/DzulkifliMohamad2010_VoronoiBasedFaceSegmentation.pdf |
| _version_ | 1796856382447681536 |
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| author | Cheddad, Abbas Mohamad, Dzulkifli |
| author2 | Mohamad, Dzulkifli |
| author_facet | Mohamad, Dzulkifli Cheddad, Abbas Mohamad, Dzulkifli |
| author_sort | Cheddad, Abbas |
| collection | ePrints |
| description | Image segmentation, decomposition of a gray level or color image into homogeneous tiles, is arguably the most important low-level vision task. Homogeneity is usually defined as similarity in pixel values. Segmentation is a fundamental process in digital image processing which has found extensive applications in areas such as content-based image retrieval, medical image processing, and remote sensing image processing. Its purpose is to extract labeled regions or boundaries for targeted objects for subsequent processing such as surface description and object recognition. A segmentation procedure usually consists of two steps. The first step is to choose a proper set of features which can identify the same-content regions and meanwhile differentiate different-content regions; the second step is to apply a segmentation method to the chosen features to achieve a segmentation map” (Deng H. and Clausi D., 2004). |
| first_indexed | 2024-03-05T18:42:07Z |
| format | Book Section |
| id | utm.eprints-28151 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:42:07Z |
| publishDate | 2008 |
| publisher | Penerbit UTM, Universiti Teknologi Malaysia |
| record_format | dspace |
| spelling | utm.eprints-281512017-10-10T03:42:05Z http://eprints.utm.my/28151/ Voronoi based face segmentation Cheddad, Abbas Mohamad, Dzulkifli QA76 Computer software TR Photography Image segmentation, decomposition of a gray level or color image into homogeneous tiles, is arguably the most important low-level vision task. Homogeneity is usually defined as similarity in pixel values. Segmentation is a fundamental process in digital image processing which has found extensive applications in areas such as content-based image retrieval, medical image processing, and remote sensing image processing. Its purpose is to extract labeled regions or boundaries for targeted objects for subsequent processing such as surface description and object recognition. A segmentation procedure usually consists of two steps. The first step is to choose a proper set of features which can identify the same-content regions and meanwhile differentiate different-content regions; the second step is to apply a segmentation method to the chosen features to achieve a segmentation map” (Deng H. and Clausi D., 2004). Penerbit UTM, Universiti Teknologi Malaysia Mohamad, Dzulkifli Othman, Nur Zuraifah Syazrah 2008 Book Section PeerReviewed application/pdf en http://eprints.utm.my/28151/2/DzulkifliMohamad2010_VoronoiBasedFaceSegmentation.pdf Cheddad, Abbas and Mohamad, Dzulkifli (2008) Voronoi based face segmentation. In: Advances in image processing and pattern recognition: algorithms & practice. Penerbit UTM, Universiti Teknologi Malaysia, Skudai, Johor, pp. 159-198. ISBN 978-983-52-0618-4 https://www.researchgate.net/publication/279485549_Voronoi_based_face_segmentation |
| spellingShingle | QA76 Computer software TR Photography Cheddad, Abbas Mohamad, Dzulkifli Voronoi based face segmentation |
| title | Voronoi based face segmentation |
| title_full | Voronoi based face segmentation |
| title_fullStr | Voronoi based face segmentation |
| title_full_unstemmed | Voronoi based face segmentation |
| title_short | Voronoi based face segmentation |
| title_sort | voronoi based face segmentation |
| topic | QA76 Computer software TR Photography |
| url | http://eprints.utm.my/28151/2/DzulkifliMohamad2010_VoronoiBasedFaceSegmentation.pdf |
| work_keys_str_mv | AT cheddadabbas voronoibasedfacesegmentation AT mohamaddzulkifli voronoibasedfacesegmentation |