一种新的渣土车车轮带泥检测方法

A new detection method of mud-attaching dregs transportation vehicle wheel

提出了一种新的车轮带泥图像检测方法。通过改进直方图方法、在相似度计算中考虑了像素的位置信息,从而提出了直方图交叉相似度计算的新方式;并综合考虑小波变换法在纹理检测上的优势,给出了图像组合相似度的新定义,基于此,提出了基于小波变换提取边缘特征与改进的直方图交叉方法相结合的相似度比较EHSC算法,通过EHSC算法计算组合相似度,并根据相似度阈值来最终选择图像。EHSC算法具有时间开销小、鲁棒性好等特点。通过在真实采样的现场图像上实验,实验结果表明,该方法能有效地进行带泥车轮图像的检测,具有较高的检测效率和比较强的实用性。

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 ref- erence 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.