The Detection Algorithm Development of Cutting Quality Defects of Paper Cutter Based on Regional Identification

Abstract:

This paper has a brief introduction to a algorithm that can automatically identify the defective cutting region when automatic paper cutter does quality analysis. The algorithm analyzed the characteristics of processed shear mark image,detected defects,found a critical point of defective part ,then a unique regional recognition algorithm was developed based on the basis of the general processing algorithm. The algorithms can pinpoint the region that cutting defects exist according to the coordinates of critical point accurately, improve the efficiency of quality analysis, and also has stated that image processing is available in the regional recognition of automatic paper cutter.

• Periodical: Applied Mechanics and Materials (Volumes 701-702)
• Pages: 367-372
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.701-702.367
• Online since: December 2014
• Authors: Tie Ling Ji, Ya Ting Teng*
• Keywords: Algorithm Development, Cutting Quality, Defect Detection, Digital Image Processing, Regional Recognition

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DOI: 10.1109/icma.2009.5246130