Title Wavelet-based approach to the detection of defects in texture images: theoretical and practical aspects /
Translation of Title Tekstūrinių vaizdų kokybės įvertinimas spektrinėje diskrečiųjų bangelių srityje: teoriniai ir praktiniai aspektai.
Authors Vaidelienė, Gintarė
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Pages 40
Keywords [eng] texture images ; defect detection ; discrete wavelet transforms ; statistical data analysis ; automatic visual inspection
Abstract [eng] This dissertation proposes a novel defect detection technique for texture (surface) images. The developed technique is implemented in the spectral discrete wavelet domain. The proposed texture defect detection technique is based on multiple image scanning, which allows forming a multi-valued texture defect detection criterion, when the final decision on the quality of the texture image under processing is made depending on the percentage of unfavourable criterion values. The task-oriented statistical analysis of specific subsets of Haar wavelet coefficients of a texture image enhances the implementation of the texture defect detection system (methodology), which ensuring the flexibility of the system. The proposed technique for detecting texture defects is successfully applied for the analysis of actual texture surfaces and their quality control. Defect detection is relatively high (83–98 %) and competitive image testing accuracy is guaranteed.
Dissertation Institution Kauno technologijos universitetas.
Type Summaries of doctoral thesis
Language English
Publication date 2017