The main aim of this contribution is description of image analysis approach combined with artificial neural networks to describe the fabric pilling features. For obtaining the fabric pills features the especially prepared digital images are used. These images are processed by the image analysis tools to achieve the aim of extraction of pills and computation of their basic features. The fabric Pills feature vector is then used in trained Artificial Neural Network (ANN) for grading the level of pill formation according to the ASTM.
Hassan, M. (2020). Applications of Image Analysis and Artificial Neural Network Techniques for Fabric Pilling Evaluation.. MEJ- Mansoura Engineering Journal, 34(1), 1-9. doi: 10.21608/bfemu.2020.125351
MLA
Mounir Hassan. "Applications of Image Analysis and Artificial Neural Network Techniques for Fabric Pilling Evaluation.". MEJ- Mansoura Engineering Journal, 34, 1, 2020, 1-9. doi: 10.21608/bfemu.2020.125351
HARVARD
Hassan, M. (2020). 'Applications of Image Analysis and Artificial Neural Network Techniques for Fabric Pilling Evaluation.', MEJ- Mansoura Engineering Journal, 34(1), pp. 1-9. doi: 10.21608/bfemu.2020.125351
VANCOUVER
Hassan, M. Applications of Image Analysis and Artificial Neural Network Techniques for Fabric Pilling Evaluation.. MEJ- Mansoura Engineering Journal, 2020; 34(1): 1-9. doi: 10.21608/bfemu.2020.125351
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