The structure of quality information systems in a computer integrated manufacturing environment
Computers and Industrial Engineering
Texture description and segmentation through fractal geometry
Computer Vision, Graphics, and Image Processing
The image processing handbook (2nd ed.)
The image processing handbook (2nd ed.)
A fractal image analysis systems for fabric inspection based on a box-counting method
Computer Networks and ISDN Systems - Special issue on graphics research and education on the World Wide Web
Digital Image Processing
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
A multilevel information fusion approach for visual quality inspection
Information Fusion
| Hi-index | 0.00 |
This work presents an application of software engineering to fabric inspection. An inspection system has been developed for textile industries that aims automatic failure detection. Such as wood, paper and steel industries, this environment has particular characteristics in which surface defect detection is used for quality control. This system combines concept from software engineering and decision support. Detection of defects within the inspected texture is performed in a first step acquiring images by CCD cameras, then extracting texture features and, finally by classifiers being trained a priori on database of defective and non-defective samples. The extracted data depend on the type of method selected for image analysis. The used types are based on segmentation or fractal dimension. Two usual segmentation techniques were adapted and improved. A new algorithm was developed to calculate efficiently fractal dimension of textures. Experiments show the accuracy and applicability of the proposed techniques for a real factory environment.