An Industrial Application Towards Classification and Optimization of Multi-Class Tile Surface Defects Based on Geometric and Wavelet Features

H COŞKUN, T Yiğit, I Üncü, M Ersoy… - Traitement du …, 2022 - avesis.usak.edu.tr
… [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 application of two-dimensional continuous wavelet transform based on active infrared thermography for subsurface defect detection in concrete structures

AK Saleh, Z Sakka, H Almuhanna - Buildings, 2022 - mdpi.com
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 …

Two‐dimensional wavelet based statistical monitoring of image data

M Koosha, R Noorossana… - Quality and Reliability …, 2022 - Wiley Online Library
… 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 …

A new feature extraction process based on SFTA and DWT to enhance classification of ceramic tiles quality

L Casagrande, LAB Macarini, D Bitencourt… - Machine Vision and …, 2020 - Springer
… 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, …

[PDF][PDF] Tile damage detection in temple facade via convolutional neural networks

K Chaiyasarn, A Buatik - J. Eng. Sci. Technol, 2021 - jestec.taylors.edu.my
using handcrafted features, including 2D wavelet transforms … The statistical features included
the median of maximum points, … -based defect detection technique in ceramic tiles using

Integration of digital quality control for intelligent manufacturing of industrial ceramic tiles

H Coskun, T Yi̇ği̇t, İS Üncü - Ceramics International, 2022 - Elsevier
… 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 …

MobileNetV2-based Transfer Learning Model with Edge Computing for Automatic Fabric Defect Detection

LR Burra, A Karuna, S Tumma, K Marlapalli… - Journal of Scientific & …, 2022 - op.niscpr.res.in
… The Statistical approach focuses on some statistical information about pixels, and the … Using
a fabric fault detection approach based on the CenterNet, the feature map is extracted using

[PDF][PDF] Analysis of wavelet, ridgelet and curvelet transform on image denoising

S Gurram, UBS Chagantipati - Int. Res. J. Eng. Technol, 2021 - academia.edu
… an image or the characteristics and features associated with it. It … A 2D wavelet transform
produces large wavelet coefficients … Fig -15: 5-level curvelet digital tiling of an image is shown …

[HTML][HTML] A review on modern defect detection models using DCNNs–Deep convolutional neural networks

AA Tulbure, AA Tulbure, EH Dulf - Journal of Advanced Research, 2022 - Elsevier
… An apple defect detection method based on a shallow MLP-… was to detect defect in two
classes of apples and the features … for designing a defect detection system using 90s era …

Automatic and efficient metallic surface defect detection based on key pixel point locations

J Yu, H Gao, J Sun, W Yang, Y Jiang… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
… -based detection system that extended 2D wavelet transform … the feature extraction by
introducing the multiscale features … Yin, “Detection of surface crack defects on ferrite magnetic tile