Paper Title
Fabric Defect Detection Based On Set Of Geometric Features For Neural Network
Abstract
In this paper we proposed a method for automatic fabric defect detection based on neural network. Neural
network is widely used to extract features from images for texture segmentation. Feature vector for every pixel is extracted
from gray level arrangement of neighboring pixels, and this change is used to segment the defects. The feature vector for
every pixel is extracted from gray level arrangement of neighboring pixel. Till now more work is carried out on defect
detection but not on defect classification. The proposed scheme involves two challenging problem .i.e. defect detection and
defect classification. Scene analysis and feature selection play an important role in classification process. an appropriate set
of geometric features is taken into account in order to address the problem of neural network-based textile defect
classification. Statistical approach is used to extract the features.
Keywords- Fabric Defect, Defect Detection, Neural network, Feature Extraction.