Application of Machine Vision in Defects Inspection And Character Recognition of Nameplate Surface
Aiming at a lot of weaknesses in manual inspection for defects inspection and characters recognition of nameplate,the paper proposed an application about inspecting and recognition of nameplate based on machine vision.This article firstly utilizes seed algorithm to process image,and remove incomplete nameplate image caused by shooting in order to retain nameplate’s integrity.Secondly,it uses BLOB analysis algorithm to achieve precise detection for printing defect.Lastly,it adopts character recognize algorithm to divide region of character and count the ratio of white pixel to black pixel,accordingly attaining effective recognition of characters.Experiments show that the method of machine vision in defects inspection and character recognition of nameplate surface has faster inspection speed and higher precise,also commendably meets the requests of actual production.
Machine vision Defects inspection Character recognition Image processing
Li Jing-mei Zhang Wei-guo Han Rui-li
Collede of Computer Science and Technology Xian University of Science and Technology Xian,China College of Science Xian University of Science and Technology Xian,China
国际会议
湖北咸宁
英文
295-298
2014-11-24（万方平台首次上网日期，不代表论文的发表时间）