Results 141 to 150 of about 2,828 (179)
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Attributes Reduction Applied to Leather Defects Classification
2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images, 2010This paper presents a study on attributes reduction, comparing five discriminant analysis techniques: FisherFace, CLDA, DLDA, YLDA and KLDA. Attributes reduction has been applied to the problem of leather defect classification using four different classifiers: C4.5, kNN, Na\"{i}ve Bayes and Support Vector Machines. The results of several experiments on
Hemerson Pistori +1 more
exaly +2 more sources
Vision based leather defect detection: a survey
Multimedia Tools and Applications, 2022Geetha S +2 more
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Automatic recognition and defect compensation for calf leather
International Journal of Information Technology and Management, 2020Chung Yeh
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Identification of surface leather defects
Proceedings of the 4th international conference conference on Computer systems and technologies e-Learning - CompSysTech '03, 2003In this paper is discussing application of χ2 - criteria for analysis of leathers based on image histograms. It is proposed a manner determining standard histograms and basic evaluation, It is designed an algorithm of leather defects identification for surfaces analysis.
Lidiya Georgieva +2 more
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A Robust Real-time Leather Defect Segmentation Using YOLO
2023 18th Iberian Conference on Information Systems and Technologies (CISTI), 2023Natural leather is a product made from animal skin which is treated through chemical procedure to preserve it. It is used in the manufacture of clothing, bags, furniture, automobile material, among others. Because of its capital value in industry, it is important to ensure its quality.
Silva, Vitor +5 more
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Defect detection on leather by oriented singularities
1997This paper presents a system for leather inspection based upon visual textural properties of the material surface. Defects are isolated from the complex and not homogeneous background by analyzing their strongly oriented structure. The patterns to be analyzed are represented in an appropriate parameter space using an optimization approach: in this way ...
Antonella Branca +3 more
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Automated defect inspection and classification of leather fabric
Intelligent Data Analysis, 2001This paper describes an automated vision system for detecting and classifying surface defects on leather fabric. In the defect inspection process, visual defects are located and reported through a two-step segmentation procedure based on thresholding and morphological processing.
Choonjong Kwak +2 more
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Quality Control Using U-Net: Detecting Defects in Leather
2023 18th Iberian Conference on Information Systems and Technologies (CISTI), 2023Recently, there has been a significant amount of attention towards computer vision algorithms, particularly those that focus on semantic segmentation applications. This is due to the availability of big data to train models, as well as the computational ability of these algorithms.
Allahdad, Mehrab Khazraeiniay +5 more
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Leather features selection for defects' recognition using fuzzy logic
Proceedings of the 5th international conference on Computer systems and technologies - CompSysTech '04, 2004In the present work are investigated 12 histogram and statistical features for analysis of leather surface images. A research of the features suitability for surface defects detection is done. For the image analysis was used the quadtree decomposition method - a technique that partitions an image into homogeneous blocks.
Kaloyan Krastev +2 more
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Leather defect classification and segmentation using deep learning architecture
International Journal of Computer Integrated Manufacturing, 2020The defects on a leather surface may be caused by the poor material handling process during the production and manufacturing stages.
Sze-Teng Liong +3 more
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