THE USE OF HAAR WAVELETS IN DETECTING AND LOCALIZING TEXTURE DEFECTS

Image Analysis and Stereology

Jonas Valantinas¹  Gintarė Vaidelienė¹ 

[1] Kaunas University of Technology;

关键词: automatic visual inspection;    defect detection;    discrete wavelets transforms;    statistical data analysis;    texture images;   

DOI  :  10.5566/ias.1561

来源: DOAJ

【 摘 要 】

In this paper, a new Haar wavelet-based approach to the detection and localization of defects in grey-level texture images is presented. This new approach explores space localization properties of the discrete Haar wavelet transform (HT) and generates statistically-based parameterized texture defect detection criteria. The criteria provide the user with a possibility to control the percentage of both the actually defect-free images detected as defective and/or the actually defective images detected as defect-free, in the class of texture images under investigation. The experiment analyses samples of ceramic tiles, glass samples, as well as fabric scraps, taken from real factory environment.

【 授权许可】

Unknown