A RELEVANCE FEEDBACK APPROACH BASED ON MODIFICATION OF SIMILARITY MEASURE USING PARTICLE SWARM OPTIMIZATION IN A MEDICAL X-RAY IMAGE RETRIEVAL SYSTEM

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POURGHASSEM HOSSEIN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Majlesi Journal of Electrical Engineering Year:2010 | Volume:4 | Issue:2 (13) Page(s): 9-17

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Title

A RELEVANCE FEEDBACK APPROACH BASED ON MODIFICATION OF SIMILARITY MEASURE USING PARTICLE SWARM OPTIMIZATION IN A MEDICAL X-RAY IMAGE RETRIEVAL SYSTEM

Author(s)

POURGHASSEM HOSSEIN | Issue Writer Certificate

Keywords

RELEVANCE FEEDBACK

PARTICLE SWARM OPTIMIZATION

CONTENT-BASED IMAGE RETRIEVAL

SIMILARITY MEASURE

X-RAY IMAGE

Abstract

RELEVANCE FEEDBACK (RF) approaches have been used to improve the performance of CONTENT-BASED IMAGE RETRIEVAL (CBIR) systems. In this paper, an RF approach based on modification of SIMILARITY MEASURE using PARTICLE SWARM OPTIMIZATION (PSO) in a medical X-RAY IMAGE retrieval system is proposed. In this algorithm, using PSO, the significance of each feature in the SIMILARITY MEASURE is modified for image retrieval. This modification causes that good features have major effect in relevant image retrieval. The defined fitness function in PSO uses relevant and irrelevant retrieved images with different strategies, simultaneously. The relevant and irrelevant images are used to exhort and penalize SIMILARITY MEASURE, respectively. The proposed RF is integrated to a CBIR system based on semantic classification for evaluation. In this system, using merging scheme in a hierarchical structure, the overlapped classes are merged together and determined search space for each query image. The proposed RF evaluated on a database consisting of 10000 medical X-RAY IMAGEs of 57 classes. The proposed algorithm provides the improvement, effectiveness more than those reported before.

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APA: Copy

POURGHASSEM, HOSSEIN. (2010). A RELEVANCE FEEDBACK APPROACH BASED ON MODIFICATION OF SIMILARITY MEASURE USING PARTICLE SWARM OPTIMIZATION IN A MEDICAL X-RAY IMAGE RETRIEVAL SYSTEM. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 4(2 (13)), 9-17. SID. https://sid.ir/paper/565864/en

Vancouver: Copy

POURGHASSEM HOSSEIN. A RELEVANCE FEEDBACK APPROACH BASED ON MODIFICATION OF SIMILARITY MEASURE USING PARTICLE SWARM OPTIMIZATION IN A MEDICAL X-RAY IMAGE RETRIEVAL SYSTEM. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2010;4(2 (13)):9-17. Available from: https://sid.ir/paper/565864/en

IEEE: Copy

HOSSEIN POURGHASSEM, “A RELEVANCE FEEDBACK APPROACH BASED ON MODIFICATION OF SIMILARITY MEASURE USING PARTICLE SWARM OPTIMIZATION IN A MEDICAL X-RAY IMAGE RETRIEVAL SYSTEM,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 4, no. 2 (13), pp. 9–17, 2010, [Online]. Available: https://sid.ir/paper/565864/en

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