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....
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/46216 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
|---|