This paper compares six wavelet transform-based classification methods, using different discriminative training approaches to the design of the feature ...

For the objective of minimum error rate in the defect classification, this paper compares six wavelet transform-based classification methods, using different ...

Oct 22, 2024 · For the objective of minimum error rate in the defect classification, this paper compares six wavelet transform-based classification methods, ...

Stitching defect detection and classification using wavelet transform and BP neural network · The Recognition of Fabric Defects Using Wavelet Texture Analysis ...

“Discriminative training approaches to fabric defect classification based on wavelet transform” is a paper by Xuezhi Yang G.K.H. Pang N.H.C. Yung published in ...

Xuezhi Yang, Grantham Pang, Nelson H. C. Yung: Discriminative training approaches to fabric defect classification based on wavelet transform.

This paper proposes a new method for fabric defect classification by incorporating the design of a wavelet frames based feature extractor with the design of a ...

Discriminative training approaches to fabric defect classification based on wavelet transform ... Pattern Recognit. 2004. 76 Citations.

6.6 Comparisons with Other Discriminative Training Approaches Using ... classification method ... Figure 7.1 Fabric defect detection based on wavelet transform ...

Abstract—This paper proposes a new method for fabric defect classification by incorporating the design of a wavelet frames based feature extractor with the ...