A Method of Detecting Carton Black in Rubber Based on Optimized Rubber Image

Abstract:

Detecting carton black is the basis of evaluating carton black’s dispersion, which is important for researching mixing process. Considering the difference of gray between rubber and carton black, K-Means algorithm was adopted to recognize carton black. With the consideration of some deviations where using K-Means algorithm to recognize carton black with small size, rubber image was optimized on the basis of inflection point. Application of optimizing rubber image and K-Means algorithm improves the accuracy of detecting carton black, which supplies support for evaluating carton black’s dispersion precisely.

• Periodical: Advanced Materials Research (Volumes 781-784)
• Pages: 487-490
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.781-784.487
• Online since: September 2013
• Authors: Xiao Bo Wang, Chuan Sheng Wang
• Keywords: Carton Black, K-Mean, Rubber

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