An agent-based CBIR system for medical images. | [Journal of Faculty of Engineering and Technology • 2014]

Author(s):

1. Muhammad Usman Ghani Khan: Department of CS&E, University of Engineering and Technology, Lahore, Pakistan

2. Pervaiz Iqbal Khan: Department of CS&E, University of Engineering and Technology, Lahore, Pakistan

3. Khadim Hussain Asif: Department of CS&E, University of Engineering and Technology, Lahore, Pakistan

4. Abdul-Nasir: Department of CS&E, University of Engineering and Technology, Lahore, Pakistan

5. Junaid Arshad: Department of CS&E, University of Engineering and Technology, Lahore, Pakistan

6. Sana Amanat: Department of CS&E, University of Engineering and Technology, Lahore, Pakistan

Abstract:

The growing number of image acquisition and storage systems in the digital world demand for the new retrieval methods. Most of the existing retrieval methods use textual information, which has been mainly entered manually for every image in the image collection. In order to access the images of interest, user gives textual input against which images are retrieved from the image collection. To overcome the issue, other approach which is generally considered is content-based image retrieval (CBIR). CBIR depends on the automatically extracted features for every image in the image collection as well as their storage and comparison upon a query. Therefore, feature extraction technique and their storage space are important aspects of CBIR. In this paper, we design and develop agent-based CBIR system for image retrieval and suggest the best feature extraction technique in terms of less storage space and more accurate search results. Although the proposed image retrieval technique can be used for any type image collection, our work focuses on the medical images.

Page(s): 39-45

DOI: DOI not available

Published: Journal: Journal of Faculty of Engineering and Technology, Volume: 21, Issue: 2, Year: 2014

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