Leather hide, as a natural material, may have many types of undesirable surface defects. No analytical method has been devised for classifying and grading wet blue hide surface defects. A high return rate and disputes between the customer and manufacturing company usually cause additional costs. This paper proposes a semi-automatic machine vision method to measure the unusable surface defect areas in wet blue hides and a clear reference standard for the demerit count for graders to classify and grade wet blue hides. A statistical comparative evaluation of the grade deviation rate and a practical demerit count method for tannery performance are given to show the usefulness of the proposed approach. a clear evaluation standard for leather surface quality usually causes much argument between the tanneries and the leather.
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Yeh, C., Perng, DB. Establishing a Demerit Count Reference Standard for the Classification and Grading of Leather Hides. Int J Adv Manuf Technol 18, 731–738 (2001). https://doi.org/10.1007/s001700170016
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DOI: https://doi.org/10.1007/s001700170016