Image Based Positioning of the Freightcars Running Gear Springs
Freightcars running gear springs are easily ruptured in the processes of manufacturing and using, losing the role of relaxing vehicle vibration, and resulting in accident. It is time to study the automatic recognition of springs defects based on image processing technology. Defects recognition is on the premise of accurate spring image location. An image location algorithm for the freightcars running gear springs is proposed in this paper, which is based on the structure characteristics of springs themselves. The algorithm mainly includes graying the image, correcting non-uniform illumination by wavelet homomographic filtering, taking binaryzation on image based on the iterative threshold method and locating springs boundary location, which could be obtained by image scanning column by column and feature analysis. This algorithm can achieve the automatic positioning of springs and has a good result to locate springs in the running gear images in case of different illumination; the accuracy rate has reached 96 percent. The study of this paper lays a foundation on the realization of automatic recognition of springs defects and has good application prospects.
Image Location Image graying Image Enhancement Image Binaryzation
Zhao Quan-ke Zhang Xiao-lin Zhang Yu Peng Jian-ping
Photoelectric Engineering Institute, Southwest Jiaotong University Sichuan Chengdu, China, 610031
国际会议
合肥
英文
3826-3829
2011-09-23（万方平台首次上网日期，不代表论文的发表时间）