A Image Retrival Method with Multi-Features Based on Dempster-Shafer Theory

Abstract:

Image content based retrieval is an important research area with application to digital libraries and multimedia databases. Its image characterization and similarity measure must closely follow perceptual characteristics. In this work, a new image retrieval method is proposed by combining color features and texture features based on Dempster-Shafer (D-S) theory. In this proposed method, Multi-color features included color histogram, color moment and color correlogram are used for color analysis, and gabor wavelet features is employed for texture analysis. Then these features are modeled as a mass function in evidence theory, and color and texture detection results are fused at decision-making level. The experimental results show that the proposed method takes advantage of the respective merits of color and texture features and therefore improves retrieval accuracy and reduces recognition error rate.

• Periodical: Advanced Materials Research (Volume 981)
• Pages: 360-363
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.981.360
• Online since: July 2014
• Authors: Meng Ji, Xiao Ming Sun*, Xin Chen, Li Jun Qi, Lei Bao, Lei Huang
• Keywords: Dempster-Shafer Evidence Theory, Image Retrival, Multi-Features Fusion, Multi-Scale Gabor Wavelet

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