Content-based image indexing and retrieval using soft computing
72 p.
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| Other Authors: | |
| Format: | Thesis |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10356/46934 |
| _version_ | 1811695937134788608 |
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| author | Syed Muhammad Ghazanfar Monir. |
| author2 | Yap Kim Hui |
| author_facet | Yap Kim Hui Syed Muhammad Ghazanfar Monir. |
| author_sort | Syed Muhammad Ghazanfar Monir. |
| collection | NTU |
| description | 72 p. |
| first_indexed | 2024-10-01T07:31:24Z |
| format | Thesis |
| id | ntu-10356/46934 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T07:31:24Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/469342023-07-04T15:53:03Z Content-based image indexing and retrieval using soft computing Syed Muhammad Ghazanfar Monir. Yap Kim Hui School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems 72 p. Conventional interactive Content-based Image Retrieval (CBIR) systems restrict the user to binary labelling of feedback images, i.e. the user can mark the retrieved images either as relevant or irrelevant. This feedback process does not reflect the nature of user interpretation and understanding of images, which tends to be uncertain due to perceptual subjectivity. Hence, it is inappropriate to describe the feedback decision by binary logic without considering the degree of relevance. To overcome this problem, a fuzzy framework is implemented to integrate the users' imprecise interpretation of visual contents into relevance feedback. An efficient learning machine is developed with Fuzzy Radial Basis Function Network (FRBFN) whose parameters (weights, width, and centres) are tuned by a gradient-descent-based learning strategy. The system is tested for its effectiveness using a database of 10,000 images. Master of Science (Signal Processing) 2011-12-27T05:46:23Z 2011-12-27T05:46:23Z 2011 Thesis http://hdl.handle.net/10356/46934 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Syed Muhammad Ghazanfar Monir. Content-based image indexing and retrieval using soft computing |
| title | Content-based image indexing and retrieval using soft computing |
| title_full | Content-based image indexing and retrieval using soft computing |
| title_fullStr | Content-based image indexing and retrieval using soft computing |
| title_full_unstemmed | Content-based image indexing and retrieval using soft computing |
| title_short | Content-based image indexing and retrieval using soft computing |
| title_sort | content based image indexing and retrieval using soft computing |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | http://hdl.handle.net/10356/46934 |
| work_keys_str_mv | AT syedmuhammadghazanfarmonir contentbasedimageindexingandretrievalusingsoftcomputing |