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

摘要: 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.