为图像分类添加模糊颜色信息

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2017-07-01 DOI:10.1109/FUZZ-IEEE.2017.8015622

J. I. Forcén, M. Pagola, H. Bustince, J. M. Soto-Hidalgo, J. Chamorro-Martínez

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引用次数: 4

摘要

颜色是图像分析的一个重要特征，但通常不用于图像分类方案。我们提出了一种将模糊颜色信息与用特征袋训练的单对全分类器(OVA)得到的结果相结合的方法。该方法是根据待分类的新图像与分类之间的距离对OVA分类器的输出进行加权。实验结果表明，该方法提高了OVA分类器的性能。

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Adding fuzzy color information for image classification

Color is a powerful feature for image analysis but it is usually not used in image classification schemes. We propose a method to combine fuzzy color information with the result obtained from a One-Versus-All classifier (OVA) trained with Bag-of-features. This method consists in weighting the outputs of the OVA classifier based on the distances between the new image to be classified and the classes. Experimental results show that our approach improves OVA classifier performance.

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2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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