Technical Reports - DIT-02-002
Gianni Vernazza, Francesco G. B. De Natale, Fabrizio Granelli
Keywords: Texture analysis, max-min, contrast, visual inspection, defect detection
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.