10 April 2018 Natural texture retrieval based on perceptual similarity measurement
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106154W (2018) https://doi.org/10.1117/12.2304752
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
A typical texture retrieval system performs feature comparison and might not be able to make human-like judgments of image similarity. Meanwhile, it is commonly known that perceptual texture similarity is difficult to be described by traditional image features. In this paper, we propose a new texture retrieval scheme based on texture perceptual similarity. The key of the proposed scheme is that prediction of perceptual similarity is performed by learning a non-linear mapping from image features space to perceptual texture space by using Random Forest. We test the method on natural texture dataset and apply it on a new wallpapers dataset. Experimental results demonstrate that the proposed texture retrieval scheme with perceptual similarity improves the retrieval performance over traditional image features.
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Ying Gao, Ying Gao, Junyu Dong, Junyu Dong, Jianwen Lou, Jianwen Lou, Lin Qi, Lin Qi, Jun Liu, Jun Liu, } "Natural texture retrieval based on perceptual similarity measurement", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106154W (10 April 2018); doi: 10.1117/12.2304752; https://doi.org/10.1117/12.2304752
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