An Algorithm for Selecting and Stitching the Conveyer Belt Joint Images Based on X-ray
The algorithm for selecting and stitching the joint images of the conveyer belt with steel ropes in X-ray imaging system is studied. Detecting the state of conveyer belt is important in production process such as coal mine. And selecting the joint images is a primary task for further processing, especially for the on-line nondestructive detection of product line. Moreover, in order to make the better visual effect and analyze the whole joint effectively, it is necessary to stitch the joint images containing the same joint information. Based on the character of the conveyer belt X-ray images, an algorithm using the gray level histogram statistics for selecting and stitching the conveyer belt joint images is put forward in this paper. The practical application shows that the correct selection rate of the joint image is 100％, and the whole joint image is stitched inextenso and correctly. This algorithm for joint detecting can greatly improve the performance of processing, especially for the on-line nondestructive detection of product line. The results of practical application show that the algorithm we proposed is effective.
Joint image select Joint image stitch Conveyer belt with steel ropes X-ray images
Xian-Guo Li Chang-Yun Miao Yan Zhang
School of Information & Communication Engineering Tianjin Polytechnic University Tianjin, China Department of Electronics & Information Engineering Tianjin Institute of Urban Construction Tianjin,
国际会议
长沙
英文
474-477
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）