Fiber Defects Detection using Threshold Distance Vector Calculation

Project Description

This is a project with Fabric discontinuity detection using mat lab image processing toolbox which will detect defect on basis of good samples used to train system at start. Numerous techniques have been developed to detect fabric defects and the purpose of this project is to categorize and/or describe these algorithms. Categorization of fabric defect detection techniques is useful in evaluating the qualities of identified features. The characterization of real fabric surfaces using their structure and primitive set has not yet been successful. Therefore on the basis of nature of features from the fabric surfaces, the proposed approaches have been characterized into three categories; statistical, spectral and model-based. In order to evaluate the state-of-the art, the limitations of several promising techniques are identified and performances are analyzed in the context of their demonstrated results and intended application.