Image Classification Algorithm Based on Structural Information

Yu Feng Chen; Zhi Zhong Yang; Gao Jie Yan; Fei Fei Li

doi:10.4028/www.scientific.net/AMM.263-266.2627

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Image Classification Algorithm Based on Structural...

Image Classification Algorithm Based on Structural Information

Abstract:

Bag of words algorithm is to integrate visual words, described the local features of the object, together to form a bag model. It does not consider the structural information of the object, considering only the local features. This paper presents an image classification algorithm based on structural information. Algorithm adds the structural information of the object according to the ideas of generalized Hough transform. We use the structural information on the local features of the test image with generalized Hough transform and get the possible position of the center of the object. Then, we have to analyze the template size on the basis of the dispersion degree of the voting points, and finally optimize the voting results. Experimental results demonstrate that our proposed method is superior to the method which does not consider the structural information and uses the low-level features to classification.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2627-2630

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2627

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Online since:

December 2012

Authors:

Yu Feng Chen, Zhi Zhong Yang, Gao Jie Yan, Fei Fei Li

Keywords:

Bag of Words, Generalized Hough Transform, Structural Information

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