Surface Color Identification in Crust & Finished Leathers using K-Means Clustering Algorithm

摘要

In general, color identification on the surface level is carried out in the leather industry. Further, the leather is grouped by various parameters. Primarily it takes place through visual assessment only. This practice is a traditional one, and subsequently, the value is fixed depends on this grouping. Therefore, the surface level examination in a crust and finished leather has taken for study to understand the classification by using K-Means clustering. The proposed method offers reliable data on the cutting area by surface color identification.