Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation. (22nd January 2020)

• Record Type: Journal Article
• Authors: He, Fei; Hu, Yuxing; Wang, Jian
• Other Names: Catauro Michelina Academic Editor.
• Is Part Of: Advances in materials science and engineering. Volume 2020(2020)
• Publication Date: 2020-01-22
• Subjects: Materials science -- Periodicals; Materials science; Periodicals; 620.11
• DOI: 10.1155/2020/2028407
• Languages: English
• ISSNs: 1687-8434

Abstract

Abstract : A new method of texture detection for aluminum foil based on digital image processing technology is proposed. Top-hat transformation and image segmentation technology based on the connected domain are used to change the method of determining texture fraction by using human experience. Compared with the brightness method, pit detection method, and EBSD technology, this method can complete quantitative detection efficiently, automatically, and accurately, and reduce the detection time and manpower. It eliminates the instability of manual detection and ensures the accuracy of detection. By this method, the error of test results can be controlled within 1.6%, which is much better than 7.3% of the brightness method and 4% of the pitting method. It provides more accurate test results for the production process control of aluminum foil.