Abstract
Aiming at the problems of Itti visual attention model like inadequate feature extraction, complex feature synthesis process and feature incompatible with existing retrieval system, a better Itti model is proposed to improve the low-level visual features, image segmentation and interesting area in this paper. And then the improved Itti visual attention model is introduce to content based Clothing image retrieval system, the experimental results show our system has obvious advance on the accuracy of retrieval effect than the existing similar system.
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Acknowledgments
This work was by Guangdong Provincial Scientific Research Fund of China (No. 2016A030313717); Natural Scientific Research Fund of China (No. 61472135).
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Hu, Y., Wang, C., Xiao, H., Zhang, S. (2018). A Clothing Image Retrieval System Based on Improved Itti Model. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_23
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DOI: https://doi.org/10.1007/978-981-13-0896-3_23
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