A lower envelope Weber contrast detection algorithm for steel bar surface pit defects

作者：Li Wu bin; Lu Chang hou^*; Zhang Jian chuan

来源：Optics and Laser Technology, 2013, 45: 654-659.

DOI：10.1016/j.optlastec.2012.05.016

• Steel bar surface pit detection
• Lower envelope Weber contrast
• Column pixels of image

A lower envelope Weber contrast (LEWC) recognition algorithm is proposed to detect steel bar surface pit defects. Some present algorithms could detect these defects but they are limited by the size of pits. This kind of defect has uniform background intensity in column pixels of steel bar surface images while it is not the case in row pixels. The lower envelope of column pixels is used to eliminate the effect of high gray level peak value points, and Weber contrast is employed to make that all areas in one image have the same threshold to detect pit defects. Experimental results show that the proposed LEWC algorithm has a high detection accuracy rate which exceeds 98% for the pit defects with different sizes.

• 出版日期2013-2
• 单位山东大学