Content-based image retrieval system in pathology
Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases....
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10356/46216 |
| _version_ | 1826126406716751872 |
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| author | Loh, Jasmine. |
| author2 | Mao Kezhi |
| author_facet | Mao Kezhi Loh, Jasmine. |
| author_sort | Loh, Jasmine. |
| collection | NTU |
| description | Content-based image retrieval (CBIR), also known as query by image content (QBIC)
and content-based visual information retrieval (CBVIR) is the application of
computer vision techniques to the image retrieval problem, that is, the problem of
searching for digital images in large databases.
CBIR searches the actual contents of the images instead of metadata like keywords.
The contents may include colors, textures and shapes etc. As such, CBIR is
important in pathology as it saves doctors and various medical practitioners from
spending unnecessary time on searching the database through keywords. Query
through text is time consuming and the results gathered are often incorrect due to
limited amount of keywords that can accurate describe the image. |
| first_indexed | 2024-10-01T06:52:08Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/46216 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:52:08Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/462162023-07-07T16:38:47Z Content-based image retrieval system in pathology Loh, Jasmine. Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. CBIR searches the actual contents of the images instead of metadata like keywords. The contents may include colors, textures and shapes etc. As such, CBIR is important in pathology as it saves doctors and various medical practitioners from spending unnecessary time on searching the database through keywords. Query through text is time consuming and the results gathered are often incorrect due to limited amount of keywords that can accurate describe the image. Bachelor of Engineering 2011-07-07T01:49:17Z 2011-07-07T01:49:17Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/46216 en Nanyang Technological University 55 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Loh, Jasmine. Content-based image retrieval system in pathology |
| title | Content-based image retrieval system in pathology |
| title_full | Content-based image retrieval system in pathology |
| title_fullStr | Content-based image retrieval system in pathology |
| title_full_unstemmed | Content-based image retrieval system in pathology |
| title_short | Content-based image retrieval system in pathology |
| title_sort | content based image retrieval system in pathology |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics |
| url | http://hdl.handle.net/10356/46216 |
| work_keys_str_mv | AT lohjasmine contentbasedimageretrievalsysteminpathology |