A Contrast-Based Approach to the Identification of Texture Faults

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 (Unpublished)

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    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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