The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Efficient Method for Image Indexing in Medical Application
Abstract
In last two decades, image retrieval has seen a growth of interests in several domains. As a result, a lot of work has been done in order to integrate it in the standard data processing environments (Rui, Huang, & Chang, 1999; Smeulders, Gevers, & Kersten, 1998; Yoshitaka & Ichikawa, 1999). To retrieve images, different methods have been proposed in the literature (Chang & Jungert, 1997; Guttman, 1984; Lin, Jagadish, & Faloutsos, 1994). These methods can be grouped into two major approaches: metadata-based and content-based approaches. The metadata-based approach uses alphanumeric attributes and traditional techniques to describe the context and/or the content of the image such as title, author name, date, and so on. The content-based approach uses image processing algorithms to extract low-level features of images such as colors, textures, and shapes. Image retrieval using these features is done by methods of similarity and hence is a non-exact matching.
Related Content
|
Nithin Kalorth, Vidya Deshpande.
© 2024.
7 pages.
|
|
Nitesh Behare, Vinayak Chandrakant Shitole, Shubhada Nitesh Behare, Shrikant Ganpatrao Waghulkar, Tabrej Mulla, Suraj Ashok Sonawane.
© 2024.
24 pages.
|
|
T.S. Sujith.
© 2024.
13 pages.
|
|
C. Suganya, M. Vijayakumar.
© 2024.
11 pages.
|
|
B. Harry, Vijayakumar Muthusamy.
© 2024.
19 pages.
|
|
Munise Hayrun Sağlam, Ibrahim Kirçova.
© 2024.
19 pages.
|
|
Elif Karakoç Keskin.
© 2024.
19 pages.
|
|
|