Applications of Image Analysis and Artificial Neural Network Techniques for Fabric Pilling Evaluation. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 2, Volume 34, Issue 1, March 2009, Page 1-9 PDF (315.76 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2020.125351 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Mounir Hassan* | ||||
| Textile Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt. | ||||
| Abstract | ||||
| 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. | ||||
| Keywords | ||||
| Fabric pilling; Image Analysis; Artificial Neural Network; ASTM Standard | ||||
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