Similarity-based picking wheel images from a series of train's images

Yan Zhou; Deren Li; Shi-bao Wan; Yu Xu

doi:10.1117/12.441563

25 September 2001 Similarity-based picking wheel images from a series of train's images

Yan Zhou, Deren Li, Shi-bao Wan, Yu Xu

Author Affiliations +

Proceedings Volume 4553, Visualization and Optimization Techniques; (2001) https://doi.org/10.1117/12.441563
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Examining wheel images is needed for train's safe running. Based on computation of image similarity, a method is introduced in this paper to pick a few available images for examination from a series of train's images, in which containing whole and clear wheels. First, histogram is calculated and histogram intersection is adopted to evaluate the histogram similarity between standard image and candidates, then a multi-resolution decomposition using Haar wavelet is applied, several edge statistical features based on wavelet coefficients are obtained and similarity comparison on the features is processed. And then these two kinds of similarity are combined to synthetically express the similarity between two images. Finally, those images satisfying threshold are picked for examination. Experiments show useful wheel images can be selected efficiently in this method.

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Yan Zhou, Deren Li, Shi-bao Wan, and Yu Xu "Similarity-based picking wheel images from a series of train's images", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); https://doi.org/10.1117/12.441563

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