Texture Defect Detection in Gradient Space
This addresses the need for automated quality control in textile industries, but it appears to be an incremental improvement as it builds on existing gradient-based methods for defect detection.
The paper tackles the problem of detecting defects in patterned textures by proposing a machine vision algorithm that uses gradient space and its energy, achieving automatic detection of fabric defects in textile industries as demonstrated on real fabric images.
In this paper, we propose a machine vision algorithm for automatically detecting defects in patterned textures with the help of gradient space and its energy. Experiments on real fabric images with defects show that the proposed method can be used for automatic detection of fabric defects in textile industries.