… [4] by using 2D wavelet transform and statistical features, tile defects were detected. In this
study, the advantages of the Haar … Defect detection of tiles using 2Dwavelet transform and …

… The characteristic feature of the proposed defect detection system is … The statistically-based
texture defect detection criteria have … Surface defect detection in tiling industries using digital …

… use of continuous wavelet transform (CWT) to visualize how the wavelet function at different
frequencies could enhance the damage features of … statistical validation. From the regression …

… for defect detection in engineered stone countertops. Lin 10 applied wavelet characteristics
and multivariate statistics … In this paper, a 2D wavelet transformation is applied on gray scale …

… to normalize the statistical difference between the extracted features. Subsequently, the data
… for defect detection in ceramic tiles using true-color images. For the feature extraction step, …

… 2D wavelet transform MIA (WT-MIA), where the feature … irregularity of the pattern in the
defective tiles. They both consist of … related to the capability of fault detection which is the objective …

… fault detection application using packaged ceramic tiles as a … using these features for
classifying the faulty/non-faulty tiles. … (db2), a 2D wavelet transform flowchart and b four subband …

… Defect detection techniques based on image data use textural features and search for …
A real case study in tile manufacturing industry is discussed in Section 5. Our concluding …

… [33] used the wavelet transform to extract statistical features from the decomposed detail …
Jamshidi, “Defect detection of tiles using 2D-wavelet transform and statistical feature,” World …

… process for product surface defect detection (PDD) and … with the features of the first-degree
statistical coefficients was … [12] obtained 2D wavelet transform and statistical properties …