Relevant bibliographies by topics / Leather defects

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Leather defects'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Leather defects"

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Tsigab, Tewelde, Abrha Bsrat, Redae Alemayohu, Mengstu Ashebre Arefe, Niraj Kumar, and Birhanu Hadush. "Effects of skin and hide defects on quality grades and physical characteristics of crust leather." Ethiopian Veterinary Journal 24, no. 2 (November 10, 2020): 35–53. http://dx.doi.org/10.4314/evj.v24i2.3.

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Leather is one of the important export commodities in Ethiopia. However, itsquality and physical characteristics are affected by diseases, handling and storage problems. A cross-sectional study was conducted to identify major hide and skin defects and assess their effect on quality grades and physical characteristics of crust leather. A total of 6530 hides and skins were inspected at Sheba Tannery and Leather Industry Private Limited Company (PLC) through standard operative procedures. For tests on physical characteristics of crust leather, top 6 defects of skin and hide were identified thereby each 5-crust leather per defect were evaluated by standard experiments for determining testing tensile strength, tear strength and percentage elongation at break. The overall hide and skin rejection was 32.7%. The rejection in wet blue hide (23.5%) was higher than for wet blue salted and dry goatskins (5.1%) and pickled sheepskins (4.1%). Scratch (20.5%), Wound (14.6%) and Cockle (12.7%), were the most common pre-slaughter skin and hide defects found in wet blue hide, goatskin and pickled sheepskin, respectively. Knife cut with proportion of 21.1%, 17.5% and 4.5% respectively in wet blue hide, goatskin and pickled sheepskin was the major slaughter defect. Putrefaction was of the most common post-slaughter defect in wet blue hide (5.3 %), pickled sheepskin (1.6%) and goatskin (2.7%). Among the identified major defects, statistically significant reduction (p<0.05) were noted in tensile strength, tear strength and percent elongation of the crust leather. Major skin and hide defects lead to considerable economical losses through reducing quality and physical performance characteristics of crust leather. Hence, innovative leather grade correction technologies are timely important. Keywords: Defects; hide; physical characteristics; quality; skin
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Moganam, Praveen Kumar, and Denis Ashok Sathia Seelan. "Perceptron Neural Network Based Machine Learning Approaches for Leather Defect Detection and Classification." Instrumentation Mesure Métrologie 16, no. 6 (December 29, 2020): 421–29. http://dx.doi.org/10.18280/i2m.190603.

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Detection of defects in a typical leather surface is a difficult task due to the complex, non-homogenous and random nature of texture pattern. This paper presents a texture analysis based leather defect identification approach using a neural network classification of defective and non-defective leather. In this work, Gray Level Co-occurrence Matrix (GLCM) is used for extracting different statistical texture features of defective and non-defective leather. Based on the labelled data set of texture features, perceptron neural network classifier is trained for defect identification. Five commonly occurring leather defects such as folding marks, grain off, growth marks, loose grain and pin holes were detected and the classification results of perceptron network are presented. Proposed method was tested for the image library of 1232 leather samples and the accuracy of classification for the defect detection using confusion matrix is found to be 94.2%. Proposed method can be implemented in the industrial environment for the automation of leather inspection process.
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Chen, Hong. "The Research of Leather Image Segmentation Using Texture Analysis Techniques." Advanced Materials Research 1030-1032 (September 2014): 1846–50. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1846.

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The leather productions are produced rapidly in people’s living, the productions’ quality is required stricter. Leather must be detected include leather plainness; leather surface defects and the density of leather before they are produced to be productions.. The most important aspect is the surface defects; the defects’ location, size and quantity should be confirmed. One of the most important steps of leather defects detection is leather image segmentation so as to extract leather defects. Gray level co-occurrence matrix is used to extract a lot of leather surface texture feature, the method of optimized Fuzzy C-means is used to segment leather image in the article. The optimized Fuzzy C-means add the spatial information; the precision of segmentation is improved. The image needs to be treated use morphological approach after it is segmented. As a result, the defective areas are separated from non-defective areas successfully.
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Kurniawati, Novita, Eka Lusiana, Nanung Agus Fitriyanto, Mohammad Zainal Abidin, Satyaguna Rakhmatulloh, Yuny Erwanto, Zaenal Bachruddin, Rusman, Lies Myra Yusiati, and Ambar Pertiwiningrum. "Future Benefits of Microorganism on Leather Defects in The Industrial Production of Protease." BIO Web of Conferences 33 (2021): 02002. http://dx.doi.org/10.1051/bioconf/20213302002.

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Article, pickle, and wet blue leather defects used for this study were fromthe Balai Besar Karet college, Kulit dan Plastik, D.I Yogyakarta (BBKKP YK), Indonesia. Meanwhile, the microorganisms in leather defects were grown in vitro at A-minimal mineral (MM) and B-lowest (1/200 v/v) nutrient media. A nitrogen source of 2% Sigma-Aldrich bovine gelatine was added to each medium. Furthermore, 1cm2 of each leather defect was sliced and immersed into the in vitro media for 7 days in an open-air rotary incubation with ambient temperature at 28° C to 30° C. The first or conventional method was the rubbing of ose cotton into the solid media, while the second isolation method was the centrifugationof liquid growth medium at 15.1G for 20 minutes. Moreover, the four microbial isolates were fromglossy yellow colonies A and B as wel as white colonies. These colonies were incubated at 38° C and the four microbes produce proteases after growing for at least 7days in liquid media and 24 hours less in solid media. The protease test produced gases on the pickle leather defects using a test tubeglass of 0.8cmdiameter and 15cmlong. Therefore, the chemical tanning process on leather defects creates a unique ecosystem of microorganisms as collagen proteins change and become thekeyto their growth.
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He, Fu Qiang, Wen Wang, and Zi Chen Chen. "Automatic Visual Inspection for Leather Manufacture." Key Engineering Materials 326-328 (December 2006): 469–72. http://dx.doi.org/10.4028/www.scientific.net/kem.326-328.469.

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The visual inspection system was developed for defects detection on leather surfaces, which is an important component of automatic CAD/CAM cutting systems. The main functions of the system are quality control and raw material cutting. An efficient algorithm, which combines multiresolution approach, energy and entropy matrices, is presented for detection of defects embedded in leather surface images. A wavelet band selection procedure was developed to automatically determine the number of resolution levels and decompose subimages for the best discrimination of defects and removals of repetitive texture patterns in the image. An adaptive binary thresholding is then used to separate the defective regions from the uniform gray-level background in the restored image. The proposed methodology is able to efficiently detect several types of defects that current approaches cannot detect, and is fast enough to be used for real-time leather inspection.
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Ho, Chao-Ching, Jheng-Ciao Li, Tzu Hsin Kuo, and Chun-Chi Peng. "Multicamera Fusion-Based Leather Defects Marking System." Advances in Mechanical Engineering 5 (January 2013): 347921. http://dx.doi.org/10.1155/2013/347921.

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Landmann, Axel. "The effect of ‘natural’ defects on leather dyeing." Journal of the Society of Dyers and Colourists 110, no. 7 (October 22, 2008): 217–19. http://dx.doi.org/10.1111/j.1478-4408.1994.tb01643.x.

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WINTER, C., M. E. R. SCHULTZ, and M. GUTTERRES. "EVALUATION OF POLYMER RESINS AND FILMS FORMED BY LEATHER FINISHING." Latin American Applied Research - An international journal 45, no. 4 (October 30, 2015): 213–17. http://dx.doi.org/10.52292/j.laar.2015.400.

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The final appearance and technical features of leather are determined by the finishing stages of leather processing, which comprise a range of operations and treatments. It is desirable to reduce or mitigate the existing defects in the original hide, to modify the surface properties of the leather and to improve leather properties under conditions of use. In the final stages of leather processing, many products are applied to form a protective coating. These coatings include resins such as polyacrylates, polyurethanes and casein. In this context, this work aims to describe aspects of the films formed with commercial polymeric resins used industrially in leather finishing. A methodology is proposed for characterizing the properties of polymeric film layers and their correlation with the material composition, through a parameter survey and physical tests.
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Branca, Antonella. "Automated system for detection and classification of leather defects." Optical Engineering 35, no. 12 (December 1, 1996): 3485. http://dx.doi.org/10.1117/1.601111.

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Sefaah, Jennifer Tabi, Eric Apau Asante, and Kwadwo Fosu Duako. "Methods used to manage defects related to vegetable tanned leather." Leather and Footwear Journal 19, no. 2 (June 30, 2019): 123–30. http://dx.doi.org/10.24264/lfj.19.2.4.

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Dissertations / Theses on the topic "Leather defects"

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Florio, Claudia, R. Aveta, G. Calvanese, and B. Naviglio. "Advanced diagnostics and innovative solutions for leather defects - 78: the problem of yellowing." Verein für Gerberei-Chemie und -Technik e. V, 2019. https://slub.qucosa.de/id/qucosa%3A34231.

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Content: Providing peculiar enhanced features to leather items is a factor of primary importance for the marketing of high-end articles; although the tanning production is oriented to satisfy a wide market range, it is mainly in the 'high end' and 'premium luxury' categories that the quality properties of the material are more expressed, indeed, and where the main current challenges have been focalized, in terms of technological innovation, sustainability and product quality. The light-coloured leathers belongs to the category of materials designed especially for the luxury market. For this type of articles, the uniformity of the colour and the agreeableness of the overall surface appearance are crucial requirements for the most of international fashion and luxury brands. One of the most common and undesirable defects of this type of article is the alteration of the color, with particular reference to the effects of yellowing of the surface of the material. There are several causes able to contribute to this type of defects, due to the complexity of the matrix and to the variability of traditional or innovative production processes used: from the fragility, photosensitivity and thermo-sensitivity of the finishing polymers, to the chemical instability of some finishing pigments, further than the presence of photosensitive additives, the migration of skin components or assembly components of the articles (fats, fillers, plasticizers, glues, etc.), up to the indirect contribution of environmental and thermo-climatic factors able to affect negatively the performance of the material. SSIP, which has always been involved in research and consulting activities for the leather industry with regards to defect monitoring, through this work, would offer an overview of all the main tools for advanced diagnostics (with particular reference to Scanning Electronic Microscopy and to chromatographic and spectroscopic methods) aimed to the identification of the causes of yellowing, beside to explore innovative solutions for the development of strategies for the resolution and / or minimization of the problem of yellowing. The technical solutions will include innovative tanning processes, innovative finishing methods, and leather surface treatments carried out in order to provide a sensible attenuation of surface absorption of IR (infrared) and UV (ultraviolet)-visible radiation. Take-Away: Advanced Diagnostics and innovative solutions for leather yellowing
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Oliveira, Alexandra Rocha de. "Qualidade extrínseca de peles e couros bovinos : um levantamento em sete estados brasileiros /." Jaboticabal, 2013. http://hdl.handle.net/11449/104878.

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Orientador: Mateus José Rodrigues Paranhos da Costa
Coorientador: Manuel Antonio Chagas Jacinto
Banca: Rui Machado
Banca: Pedro Veiga Rodrigues Paulino
Banca: Viviane Corrêa Santos
Banca: Mauricio Mello de Alencar
Resumo: A indústria coureira brasileira vem contribuindo de forma positiva e crescente para o saldo da balança comercial do país. O valor das exportações de couros e peles em 2011 foi de US$ 2 bilhões, e acredita-se que em 2012 os valores devem ultrapassar essa marca. Apesar do quadro favorável, a baixa qualidade da matéria-prima nacional tem limitado desempenhos mais expressivos do setor industrial, e o principal fator limitante à melhoria desta é a inexistência de um sistema de remuneração diferencial pela qualidade da matéria-prima, possível de ser estabelecido a partir de programas de classificação de couros e peles. O Ministério da Agricultura, Pecuária e Abastecimento (MAPA) estabeleceu, em 2002, critérios de classificação da pele bovina visando à valorização comercial por meio da Instrução Normativa n. 12, e solicitou à Empresa Brasileira de Pesquisa Agropecuária (Embrapa) que os validasse. Após estudos, verificou-se que a metodologia proposta pelo MAPA necessitava de ajustes. O presente estudo teve por objetivo identificar e classificar, com uma nova metodologia, 6.832 peles bovinas nos estabelecimentos de abate em Estados que representassem as cinco Regiões do Brasil, além de acompanhar, em estabelecimentos de curtimento, a classificação comercial, feita pelos próprios, dos 6.832 couros e verificar se havia correlação desta com aquela recebida pelas peles nos frigoríficos, bem como identificar os defeitos mais comuns que afetam as peles e os couros brasileiros. Verificou-se que o sistema nacional de classificação das peles bovinas proposto pelo MAPA e modificada pela Embrapa ainda não é o ideal para que se chegue à remuneração do produtor pela qualidade do couro e que o mesmo necessita de adequações técnicas. Constatou-se que as frequências de defeitos como os causados por carrapatos, bernes curados, bernes abertos, riscos abertos, riscos... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: The Brazilian leather industry has contributed to the positive and growing trade balance of the country. The value of hides and leathers exports in 2011 was US$ 2 billion, and it is believed that in 2012 the values exceed that mark. Despite the favorable scenario, the low quality of the hides has limited most impressive performances of the industrial sector, and the main limiting factor to this improvement is the lack of a system of differential payment for hide's quality, which can be established with programs of hides and leathers classification. The Ministry of Agriculture, Livestock and Supply (MAPA) established, in 2002, criteria for the classification of bovine hide aimed at commercial value through Normative Instruction n. 12, and asked Empresa Brasileira de Pesquisa Agropecuária (Embrapa) to validate it. After studies, it was found that the methodology proposed by MAPA needed adjustments. This study aimed to identify and classify, with a new methodology, 6,832 hides in slaughterhouses in states that represent the five regions of Brazil, besides monitoring, in tanning establishments, the commercial classification of those 6,832 leathers and see if there was a correlation with that received by skins in slaughterhouses, as well as identifying the most common defects that affect Brazilian skins and leathers. It was found that the national classification system proposed by MAPA is still not ideal to reach the producer payment for the leather quality and that it requires technical adjustments. It was observed that frequencies of defects such as those caused by ticks, cured grubs, open grubs, open risks, closed risks, dermatitis and candent iron mark, both for the hides and leathers classification, are highly heterogeneous with each other. It was also observed that candent iron mark, tick infestations and closed risks are the most commonly defects found in Brazilian leathers
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3

Oliveira, Alexandra Rocha de [UNESP]. "Qualidade extrínseca de peles e couros bovinos: um levantamento em sete estados brasileiros." Universidade Estadual Paulista (UNESP), 2013. http://hdl.handle.net/11449/104878.

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Made available in DSpace on 2014-06-11T19:33:31Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-02-01Bitstream added on 2014-06-13T20:05:36Z : No. of bitstreams: 1 oliveira_ar_dr_jabo.pdf: 1020849 bytes, checksum: 25ae3d548bdccb5872a57097dc8d6b46 (MD5)
A indústria coureira brasileira vem contribuindo de forma positiva e crescente para o saldo da balança comercial do país. O valor das exportações de couros e peles em 2011 foi de US$ 2 bilhões, e acredita-se que em 2012 os valores devem ultrapassar essa marca. Apesar do quadro favorável, a baixa qualidade da matéria-prima nacional tem limitado desempenhos mais expressivos do setor industrial, e o principal fator limitante à melhoria desta é a inexistência de um sistema de remuneração diferencial pela qualidade da matéria-prima, possível de ser estabelecido a partir de programas de classificação de couros e peles. O Ministério da Agricultura, Pecuária e Abastecimento (MAPA) estabeleceu, em 2002, critérios de classificação da pele bovina visando à valorização comercial por meio da Instrução Normativa n. 12, e solicitou à Empresa Brasileira de Pesquisa Agropecuária (Embrapa) que os validasse. Após estudos, verificou-se que a metodologia proposta pelo MAPA necessitava de ajustes. O presente estudo teve por objetivo identificar e classificar, com uma nova metodologia, 6.832 peles bovinas nos estabelecimentos de abate em Estados que representassem as cinco Regiões do Brasil, além de acompanhar, em estabelecimentos de curtimento, a classificação comercial, feita pelos próprios, dos 6.832 couros e verificar se havia correlação desta com aquela recebida pelas peles nos frigoríficos, bem como identificar os defeitos mais comuns que afetam as peles e os couros brasileiros. Verificou-se que o sistema nacional de classificação das peles bovinas proposto pelo MAPA e modificada pela Embrapa ainda não é o ideal para que se chegue à remuneração do produtor pela qualidade do couro e que o mesmo necessita de adequações técnicas. Constatou-se que as frequências de defeitos como os causados por carrapatos, bernes curados, bernes abertos, riscos abertos, riscos...
The Brazilian leather industry has contributed to the positive and growing trade balance of the country. The value of hides and leathers exports in 2011 was US$ 2 billion, and it is believed that in 2012 the values exceed that mark. Despite the favorable scenario, the low quality of the hides has limited most impressive performances of the industrial sector, and the main limiting factor to this improvement is the lack of a system of differential payment for hide’s quality, which can be established with programs of hides and leathers classification. The Ministry of Agriculture, Livestock and Supply (MAPA) established, in 2002, criteria for the classification of bovine hide aimed at commercial value through Normative Instruction n. 12, and asked Empresa Brasileira de Pesquisa Agropecuária (Embrapa) to validate it. After studies, it was found that the methodology proposed by MAPA needed adjustments. This study aimed to identify and classify, with a new methodology, 6,832 hides in slaughterhouses in states that represent the five regions of Brazil, besides monitoring, in tanning establishments, the commercial classification of those 6,832 leathers and see if there was a correlation with that received by skins in slaughterhouses, as well as identifying the most common defects that affect Brazilian skins and leathers. It was found that the national classification system proposed by MAPA is still not ideal to reach the producer payment for the leather quality and that it requires technical adjustments. It was observed that frequencies of defects such as those caused by ticks, cured grubs, open grubs, open risks, closed risks, dermatitis and candent iron mark, both for the hides and leathers classification, are highly heterogeneous with each other. It was also observed that candent iron mark, tick infestations and closed risks are the most commonly defects found in Brazilian leathers
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Souissy, Hassane. "Système automatique de zonage et inspection des cuirs." Valenciennes, 1988. https://ged.uphf.fr/nuxeo/site/esupversions/751e1220-f675-4b23-9ceb-d79d6f0fc722.

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Le système automatique requiert 2 aspects: le zonage expert de l'image d'une peau; l'inspection adaptée de chaque zone de l'image. On propose une technique de zonage automatique adaptée à la taille et à la forme de la peau et une méthode d'analyse adaptée au matériau d'aspect perturbé qui est le cuir.
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Li, Jheng-Ciao, and 李政樵. "Multiple camera fusion based leather defects marking system." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/85629729675602892871.

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碩士
國立雲林科技大學
機械工程系碩士班
101
Animal leather can’t be replaced artificial leather applications, but there will be some natural hide flaws for animal leather. In real-time classification, large leather defects needs high-resolution images with a large field of view. The ratio of defective area relative to the leather area is smallest. The image of multiple cameras will be stitched into a merged image. Border in the merged image is difficult part to handle, through the camera projection geometry as a process. With the advancement in machine vision, the image file can be captured with machine vision’s assistance and some hardware devices. And the data saved as AutoCAD DXF format, the area has been classified will arrange by two-dimensional nest. In this study, the size of checkerboard is 2800 mm × 1800 mm, the measurement of checkerboard’s average error and standard deviation is 0.37 mm and 0.41, respectively. The size of leather is 2700 mm × 1300 mm, the measurement of leather’s average error and standard deviation was 1.34 mm and 0.65, respectively. The difference of area utilization ratio between nesting system and manual nest is 10 %.
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WANG, HONG-XIANG, and 王泓翔. "Apply Machine Vision and Deep Learning to Leather Surface Defects Inspection." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9xftcp.

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碩士
國立臺北科技大學
工業工程與管理系
107
The shoes and footwear industry is one of the most important manufacturing fields in Taiwan. It is considered a traditional and complicated handicraft process with more than 200 operations. Leather is a commonly used material and the leather surface inspection method of the footwear industry mainly relies on manual visual inspection, the process is time consuming and long-term work is easy to cause eye fatigue, which is easy to cause negligence in detection. In this study, we proposed a two-phased visual inspection approach which integrates digital image processing and deep learning method In the first phase, we developed a digital image process (DIP) algorithm to detect obvious defects. The deep learning model( Yolo3) used to detect the unobvious defects. According to the detection process proposed in this study, used another 100 pieces of defective leathers and non-defective leather to verify the detection process. The proposed DIP-based method in the first-phase screened out the 58% of large defect, and then the trained Yolo3 model further detected 40% defect, and reached a 98% inspect rate in total. By means of the two-phased inspection design helps to reduce the manpower and cost required for visual inspection in the footwear industry.
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Yeh, Chung, and 葉忠. "Establishing Compensatory Leather Defect Area Standards." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/16989908621065394936.

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博士
國立交通大學
工業工程與管理系
89
Defects exist on natural leather surface. Manufacturing generally cannot eliminate it. No international criterion specifies the compensatory counting for calf leather surface defects. So, complicated negotiation causes additional cost and argument between supplier and purchaser. This paper is to establish a compensatory standard of leather defects area. We start by collecting 170 samples of defective leather and by discussing with the experienced experts, and then classify the leather defects into seven types. By using digital image processing technique, we devise automatic and semi-automatic detective methods to identify the defects. The nearby defects can also grouped into a larger unusable leather region and its pixel number can compute the corresponding unusable area. The compensatory standard corresponding to each type of leather defect is then defined. A practical leather transaction is simulated to evaluate the reliability of the established compensatory standard. The mean error rate between the leather defect deductible area calculated by compensatory standard and the unusable area derived by automatic machine inspection method is 1.16%. The mean deviation rate for the leather area of the simulated transaction is 0.05%. This provides an effective and reliable compensatory standard for finished leather transaction.
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Hsu, kuo-cheng, and 徐國政. "Automatic Recognition and Compensation for the Types of Leather Defect." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/15062488982869722939.

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碩士
逢甲大學
工業工程學系
90
Leather defects affect the usable area and the salable price. No international criterion specifies the compensatory counting for calf leather surface defects. So, complicated negotiation causes additional cost and argument between supplier and purchaser. This paper is to develop neural network learning method to implement the automatic recognition of types of leather defect and compensation of leather defective unusable area. We start by scanning the collected samples of defective leather and classifying the leather surface defects into seven types by the characteristic of the leather defective appearance. By using digital image processing technique, blobs analysis and the attributes of the area of leather defect, hole, perimeter, ratio of perimeter, length and width of defects etc., we can extract the characteristic of each type of leather defect and acquire the training data. Then by using the neural network learning technique, we can identify the types of leather defect automatically. According to the compensatory leather defect unusable area standards corresponding to each type of leather defect. Practical leather recognition to transaction is simulated to evaluate the validity of the neural network technique. The results show that the mean error rate of recognizing the leather defect is 3.34% and integrate the compensatory leather defect standards, the mean deviation rate for the leather area of the simulated transaction is 0.05%. This provides an effective and reliable method for automatic recognition and compensation for finished leather transaction.
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Books on the topic "Leather defects"

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Tancous, Jean J. Skin, hide, and leather defects. 2nd ed. Cincinnati, Ohio: Leather Industries of America Laboratory, 1986.

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Chursin, Vyacheslav, and Vladislav Haustov. Modern technological equipment for leather production. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1039915.

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The tutorial shows the design, basic and kinematic diagrams of technological equipment used in the leather industry. Comparative technical characteristics of modern machines and units produced by various companies are presented. Defects that occur during improper operation or malfunction of individual components of technological equipment are considered. Meets the requirements of the Federal state educational standards of higher education of the latest generation. For undergraduate and graduate students of the 29.03.01 and 29.04.01 "technology of light industry products", studying the disciplines "Design, technical re-equipment and reconstruction of light industry enterprises", "fundamentals of machine science in the production of leather and fur", "Modern technological equipment for leather and fur production".
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John, Gerhard. Possible defects in leather production: Definitions, causes, consequences, remedies and types ofleather. Lampertheim: G. John, 1996.

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Skin, hide and leather defects. Leather industries of America Laboratory, university of Concinnati, location 14, Cincinnati, Ohio, 45221-0014, 1992.

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Book chapters on the topic "Leather defects"

1

Ochoa-Zezatti, Alberto, Oliverio Cruz-Mejía, Jose Mejia, and Hazael Ceron-Monroy. "Image Classification Applied to the Detection of Leather Defects for Smart Manufacturing." In Computer Science and Health Engineering in Health Services, 52–61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69839-3_4.

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Branca, A., F. P. Lovergine, G. Attolico, and A. Distante. "Defect detection on leather by oriented singularities." In Computer Analysis of Images and Patterns, 223–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63460-6_121.

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Villar, Patricio, Marco Mora, and Paulo Gonzalez. "A New Approach for Wet Blue Leather Defect Segmentation." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 591–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25085-9_70.

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Jawahar, Malathy, L. Jani Anbarasi, S. Graceline Jasmine, Modigari Narendra, R. Venba, and V. Karthik. "A Machine Learning-Based Multi-feature Extraction Method for Leather Defect Classification." In Inventive Computation and Information Technologies, 189–202. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4305-4_15.

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Conference papers on the topic "Leather defects"

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Georgieva, Lidiya, Kaloyan Krastev, and Nikola Angelov. "Identification of surface leather defects." In the 4th international conference conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/973620.973670.

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Amorim, W. P., H. Pistori, M. C. Pereira, and M. A. C. Jacinto. "Attributes Reduction Applied to Leather Defects Classification." In 2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI 2010). IEEE, 2010. http://dx.doi.org/10.1109/sibgrapi.2010.54.

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Chelaru, Ciprian, Madalina-Camelia Ignat, and Rodica Roxana Constantinescu. "Comparative study of the surface properties for some different types of leather finishes." In The 8th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2020. http://dx.doi.org/10.24264/icams-2020.i.4.

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Abstract:
A surface characteristic of leather is an important parameter in shoe industry. During the usage, the surface of shoes is the main barrier against the environment (mostly water). The macroscopic and microscopic evaluation is useful to see the surface aspect (surface defects, continuity of finish, cracks). Test for hydrophilic/hydrophobic activity is important for the leather. In this way we can estimate if the finishing touches absorb or repel the water. Microbiological test is also important, because during an intense usage, inside the shoes are released a lot of chemicals through foot perspiration that can provide a perfect environment for development of mold and bacteria in the main structure of the shoe. The samples for this study will be five bovine leathers with different finishes.
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Krastev, Kaloyan, Lidia Georgieva, and Nikola Angelov. "Leather features selection for defects' recognition using fuzzy logic." In the 5th international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1050330.1050367.

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Amorim, Willian P., Felipe Silveira Brito Borges, Marcio C. B. Pache, Marcelo H. Carvalho, and Hemerson Pistori. "Optimum-Path Forest in the classification of defects in Bovine Leather." In 2019 XV Workshop de Visão Computacional (WVC). IEEE, 2019. http://dx.doi.org/10.1109/wvc.2019.8876936.

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He Fuqiang, Wang Wen, and Chen Zichen. "Automatic defects detection based on adaptive wavelet packets for leather manufacture." In International Technology and Innovation Conference 2006 (ITIC 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20061102.

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Kasi, Murali Krishna, J. Bhaskara Rao, and Vijay Kumar Sahu. "Identification of leather defects using an autoadaptive edge detection image processing algorithm." In 2014 International Conference on High Performance Computing and Applications (ICHPCA). IEEE, 2014. http://dx.doi.org/10.1109/ichpca.2014.7045326.

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Shilo, S. A., and A. S. Levda. "Detecting Defects of Leather Material on the Base of Radiometric Method in MM-Wave Band." In 2007 International Kharkiv Symposium Physics and Engrg. of Millimeter and Sub-Millimeter Waves (MSMW). IEEE, 2007. http://dx.doi.org/10.1109/msmw.2007.4294853.

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9

Dahuang, Fan, Ding Lei, and Deng Jiehang. "Automatic Detection and Localization of Surface Defects for Whole Piece of Ultrahigh-definition Leather Images." In 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS). IEEE, 2019. http://dx.doi.org/10.1109/ccoms.2019.8821662.

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Li Jian, Han Wei, and He Bin. "Research on inspection and classification of leather surface defects based on neural network and decision tree." In 2010 International Conference on Computer Design and Applications (ICCDA 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccda.2010.5541405.

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