Gabor filtering-based feature extraction for pathological image analysis
Despite of the advancement in bio imaging, pathological image analysis is still the final say for cancer diagnosis and prognosis. In image analysis, it extracts characteristics or features from the image through the mean of image processing techniques. In this report, Gabor filtering based...
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Format: | Final Year Project (FYP) |
Language: | English |
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2012
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Online Access: | http://hdl.handle.net/10356/49418 |
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author | Lim, Wei Ming. |
author2 | Mao Kezhi |
author_facet | Mao Kezhi Lim, Wei Ming. |
author_sort | Lim, Wei Ming. |
collection | NTU |
description | Despite of the advancement in bio imaging, pathological image analysis is still the final say for cancer diagnosis and prognosis. In image analysis, it extracts characteristics or features from the image through the mean of image processing techniques.
In this report, Gabor filtering based feature extraction for pathological image analysis will be discussed. Any improvements on the efficiency, results quality of the prototype were continuously explored during the project period. Further studies on improving the prototype program will be done in the future. |
first_indexed | 2024-10-01T04:46:16Z |
format | Final Year Project (FYP) |
id | ntu-10356/49418 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T04:46:16Z |
publishDate | 2012 |
record_format | dspace |
spelling | ntu-10356/494182023-07-07T17:29:50Z Gabor filtering-based feature extraction for pathological image analysis Lim, Wei Ming. Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Despite of the advancement in bio imaging, pathological image analysis is still the final say for cancer diagnosis and prognosis. In image analysis, it extracts characteristics or features from the image through the mean of image processing techniques. In this report, Gabor filtering based feature extraction for pathological image analysis will be discussed. Any improvements on the efficiency, results quality of the prototype were continuously explored during the project period. Further studies on improving the prototype program will be done in the future. Bachelor of Engineering 2012-05-18T06:12:24Z 2012-05-18T06:12:24Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49418 en Nanyang Technological University 43 p. application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Lim, Wei Ming. Gabor filtering-based feature extraction for pathological image analysis |
title | Gabor filtering-based feature extraction for pathological image analysis |
title_full | Gabor filtering-based feature extraction for pathological image analysis |
title_fullStr | Gabor filtering-based feature extraction for pathological image analysis |
title_full_unstemmed | Gabor filtering-based feature extraction for pathological image analysis |
title_short | Gabor filtering-based feature extraction for pathological image analysis |
title_sort | gabor filtering based feature extraction for pathological image analysis |
topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
url | http://hdl.handle.net/10356/49418 |
work_keys_str_mv | AT limweiming gaborfilteringbasedfeatureextractionforpathologicalimageanalysis |