Content-based image retrieval system in pathology

• Main Author: Loh, Jasmine.
• Other Authors: Mao Kezhi
• Format: Final Year Project
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
• Online Access: http://hdl.handle.net/10356/46216
• Institution: Nanyang Technological University

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.