Abstract
Defects exist on natural leather surfaces and they usually cannot be eliminated during processing. No international criterion specifies the compensatory counting for calf leather surface defects. So complicated negotiation causes additional cost and argument between suppliers and purchasers. The objective of this article is to establish a compensatory standard of leather defects for finished leather transactions. We start by collecting 170 samples of defective leather and classify the leather defects into seven types. By using digital image processing techniques, we can identify the defects and group nearby defects into a larger scrap area. The area of leather falling into disuse can be calculated. The compensatory standard corresponding to each type of leather defect is then defined. The established compensatory standard for finished leather transactions is evaluated for simulated practical leather transaction. Simulation results showed that the proposed approach is useful and beneficial for practical leather transactions.
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References
Le KJ (1996) Leather hide industry now and future in Taiwan. Industr New Lett Industr Dev Bureau, Ministry of Economic Affairs, R.O.C. 26:7–22
Chung Y (1993) Quality control of leather hides manufactory. J Dept of Industr Eng Feng Chia Univ, Taichung, Taiwan, R.O.C. 22:26–51
Attila L, Dmitry C (1991) Knowledge-based line-correction rules in a machine-vision system for the leather industry. Eng Appl Artif Intell 4:433–438
Limas-Serafim AF (1991) Multi-resolution pyramids for segmentation of natural images based on autoregressive models: application to calf leather classification. IEEE Proceedings of the IECON International Conference on Industrial Electronics Control and Instrument, Kobe, Japan 3:1842–1847
Limas-Serafim AF (1993) Natural images segmentation for patterns recognition using edges pyramids and its application to the leather defects. IEEE Proceedings of the IECON 19th Annual International Industrial Electronics Control and Instrument Conference, Maui, HI, USA 3:1357–1360
Lovergine FP, Branca A, Attolico G, Distante A (1997) Leather inspection by oriented texture analysis with a morphological approach. Proceedings of the IEEE International Conference on Image Processing, Santa Barbara, CA 2:669–671
Branca A, Tafuri M, Attolico G, Distante A (1996) Automated system for detection and classification of leather defects. Optic Eng 35:3485–3494
Branca A, Lovergine FP, Attolico G, Distante A (1997) Defect detection on leather by oriented singularities. CAIP Proceedings of 7th Annual International Conference on Computer Analysis of Images and Patterns, pp 223–230
Pölzleitner W, Niel A (1994) Automatic inspection of leather surfaces. Soc Photo-optic Instrumen Eng 2347:50–58
Hoang K, Nachimuthu A (1996) Image processing techniques for leather hide ranking in the footwear industry. Mach Vision Appl 9:119–129
Hoang K, Wen W, Nachimuthu A, Jiang XL (1997) Achieving automation in leather surface inspection. Comp Industr 34:43–54
Chung Y, Der-Baau P (2001) Establishing a demerit count reference standard for the classification and grading of leather hides. (National Science Council R.O.C., Grant No. 89-2213-E-035-022). Int J Adv Manuf Technol 18:731–738
Thorstensen TC (1993) Practical leather technology. Krieger, Malabar, Florida
Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybernet SMC-9:62–66
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Yeh, C., Perng, DB. A reference standard of defect compensation for leather transactions. Int J Adv Manuf Technol 25, 1197–1204 (2005). https://doi.org/10.1007/s00170-003-1945-y
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DOI: https://doi.org/10.1007/s00170-003-1945-y