Granelli, Fabrizio and De Natale, Francesco G. B. and Vernazza, Gianni (2002) A Contrast-Based Approach to the Identification of Texture Faults. UNSPECIFIED. (Unpublished)
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Abstract
Texture analysis based on the extraction of contrast features is very effective in terms of both computational complexity and discrimination capability. In this framework, max-min approaches have been proposed in the past as a simple and powerful tool to characterize a statistical texture. In the present work, a method is proposed that allows exploiting the potential of max -min approaches to efficiently solve the problem of detecting local alterations in a uniform statistical texture. Experimental results show a high defect discrimination capability and a good attitude to real-time applications, which make it particularly attractive for the development of industrial visual inspection systems.
| Item Type: | Departmental Technical Report |
|---|---|
| Department or Research center: | Information Engineering and Computer Science |
| Subjects: | Q Science > QA Mathematics > QA075 Electronic computers. Computer science T Technology > TA Engineering (General). Civil engineering (General) > TA174 Engineering Design |
| Uncontrolled Keywords: | Texture analysis, max-min, contrast, visual inspection, defect detection |
| Report Number: | DIT-02-002 |
| Repository staff approval on: | 05 Jul 2002 |
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