The common printing defects were divided into point, line and area. The basic flow of online defect test and detailed steps of blob algorithm were introduced. Defects in printed matter were identified and classified by blob algorithm combined with area and girth; characteristic parameters of defects such as area, position and style were extracted. Defect detection of printed matter was achieved in program.
XU Min, TANG Wan-you, MA Qian-li, HAO Jian-qiang.
Research of Printing Defect On-line Detection Based on Blob Algorithm[J]. Packaging Engineering. 2011(9): 20-23