We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content based approach was followed using global features that would perform well with the medical image collection. We used structure, texture, localisation and colour features that have been proven by previous experiments. The retrieval results showed that this simpl...

This paper describes the participation of Tel Aviv University Medical Image Processing Laboratory group at the ImageClef 2008 medical retrieval and medical annotation tasks. In both tasks we have used the bag-of-words approach for image representation. We submitted two purely visual automatic runs to the medical retrieval task, which used different normalization in the feature extraction stage....

Apart from the computer vision community, an always increasing number of scientific domains show a great interest for image analysis techniques. This interest is often guided by practical needs. As examples, we can cite all the medical imagery systems, the satellites images treatment and botanical databases. A common point of these applications is the large image collections that are generated ...

In this paper a World Wide Web (WWW)-based medical system, called MITIS, is designed and developed for the management and processing of obstetrical, gynecological and radiological medical data. The system records all the necessary medical information in terms of patient data, examinations, and operations and provides the user-expert with advanced image processing tools for the manipulation, pro...

JCHPS Special Issue 1: February 2017 www.jchps.com Page 212 A Medical Image Retrieval System using Gabor Barcode B. Nandhini*, S. Gowri Department of ECE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India. *Corresponding author: E-Mail: [email protected] ABSTRACT Advances in digital imaging technologies and the increasing prevalence of picture archival systems have led to an...

Several content based image retrieval systems use region-based descriptors of salient regions to represent the image content. In this application domain, no perfect pixel wise segmentation is required, but instead, a stable and unsupervised extraction of salient region-descriptors is needed which might be generally applicable. Accordingly, in this paper an algorithm is proposed which combines l...

This research presents a new color selection interface that facilitates query-by-color in Content-Based Image Retrieval (CBIR). Existing CBIR color selection interfaces, are being judged as non-intuitive and difficult to use. Our interface copes with these problems of usability. It is based on 11 color categories, used by all people, while thinking of and perceiving color. In addition, its usab...