Computer Science ›› 2014, Vol. 41 ›› Issue (5): 288-291.doi: 10.11896/j.issn.1002-137X.2014.05.061

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Research on Image Classification Based on Attribute Learning

LIN Wu-xu,CHENG Ke-yang and ZHANG Jian-ming   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Inherent attributes of the image play an important role in image recognition,but the traditional classification methods tend to overlook these characteristics.This paper presented a method for image classification which combines the sparse representation with attribute learning.First the sparse representation codes of the image features are calcula-ted,then these codes are used for rebuilding the image features,finally these new features are used to train attribute classifiers which work for the purpose of image classification.Experiments using plant datasets show the efficiency of our method and improvement over the classical method.

Key words: Attribute learning,Sparse representation,Multiple classification,K-SVD

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