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- Title
一种新的渣土车车轮带泥检测方法.
- Authors
YANG Xue; LI Zhi-hua
- Abstract
A new method for mud-attaching wheel images detection is proposed. By introducing a new definition of combining similarity of images(CSI), Edge Histogram Similarity Comparison(EHSC)algorithm is proposed by combining image edge and histogram features. Firstly, wavelet transformation is used to extract edge feature of images. Thus, wavelet feature similarity between real-time images and reference map is calculated. Then, the similarity between real-time images and reference map is calculated by the improved histogram intersection method. Finally, the images of satisfying threshold condition are selected. The simulation experiment result shows that the method has the advantage of strong robustness, low overhead of time and higher accuracy. It can improve the efficiency of detecting mud-attaching wheel images efficiently.
- Publication
Computer Engineering & Science / Jisuanji Gongcheng yu Kexue, 2014, Vol 36, Issue 4, p751
- ISSN
1007-130X
- Publication type
Article
- DOI
10.3969/j.issn.1007-130X.2014.04.031