Contents
Contributors ix
Part One Fundamentals of common computer vision techniques for fashion and textile applications 1
1 Fundamentals of common computer vision techniques for textile quality control 3
J.L. Jiang, W.K. Wong
1.1 Introduction 3
1.2 Current challenges of common computer vision techniques for fabric defect detection 4
1.3 Basic system architecture of an automated fabric inspection system 4
1.4 Computer vision-based techniques for fabric defect detection 5
1.5 Current benefits of computer vision technique and its prospects for fabric defect detection 11
1.6 Summary 12
References 12
2 Fundamentals of common computer vision techniques for fashion textile modeling, recognition, and retrieval 17
J.J. Wen, W.K. Wong
2.1 Introduction 17
2.2 Roadmap of computer vision technique and its significances and challenges in fashion and textile research 19
2.3 Fashion textile modeling 20
2.4 Fashion textile segmentation and recognition 28
2.5 Fashion textile retrieval 34
2.6 Prospects of computer vision technique in fashion and textile industry 39
2.7 Summary 39
References 40
Part Two Fabric defect detection 45
3 Computer vision techniques for detecting fabric defects 47
W.K. Wong, J.L. Jiang
3.1 Introduction 47
3.2 NSSSC method 49
3.3 Experiments 53
3.4 Conclusion 57
References 57
Further reading 60
4 Computer vision and its application in detecting fabric defects 61
M. Eldessouki
4.1 Introduction 61
4.2 Image analysis 74
4.3 PCA and data dimensionality 77
4.4 Soft computing for detection and classification 80
4.5 Experimental applications 87
4.6 Future opportunities and challenges 97
References 99
Part Three Investigation and evaluation on fibers,
yarns and textile quality 103
5 Investigating surface properties of fibers and yarns by image
processing and statistical analysis techniques 105
T. Blachowicz, A. Ehrmann
5.1 Introduction 105
5.2 Experimental and image-processing procedure 106
5.3 Results and discussion 112
5.4 Conclusions 119
Acknowledgments 119
References 120
6 Computer vision techniques for detecting yarn defects 123
F. Pereira, V. Carvalho, F. Soares, R. Vasconcelos, J. Machado
6.1 Introduction 123
6.2 Fundamentals of textile yarn 124
6.3 Methods for detecting yarn parameters 128
6.4 Yarn defect detection system review 133
6.5 Final comments 142
References 142
7 Evaluation of fabric pilling as an end-use quality and a
performance measure for the fabrics 147
M. Eldessouki
7.1 Introduction 147
7.2 Computer vision and pilling evaluation 154
7.3 Pills quantization 156
7.4 Modeling human judgment (fuzzy logic) 159
7.5 Pills rating and classification 163
7.6 Practical results 166
7.7 Closing remarks 184
References 185
8 Computer vision techniques for measuring and demonstrating
color of textile 189
A. Shams-Nateri, E. Hasanlou
8.1 Introduction 189
8.2 The RGB and sRGB system 190
8.3 Color transformation and color gamut 190
8.4 Digital image processing 193
8.5 Digital camera as a noncontact measurement 198
8.6 Scanner 200
8.7 Characterization and calibration of digital camera and scanner 200
8.8 Color measurement by digital camera and scanner 206
8.9 Conclusions 215
References 217
Part Four Fashion and textile recognition, modeling and
retrieval 221
9 Fashion accessory segmentation 223
J.J. Wen, W.K. Wong
9.1 Introduction of the application in accessory segmentation
and counting 223
9.2 Architecture of accessory segmentation and counting system 225
9.3 Computer vision technique for processing material image 229
9.4 Accessory segmentation 234
9.5 Accessory recognition and counting 241
9.6 Case study and system interface 245
9.7 Summary 250
References 251
10 Textile image retrieval using joint local PCA-based feature
descriptor 253
Y. Cui, W.K. Wong
10.1 Introduction 253
10.2 Brief review of the related work 255
10.3 The novel feature descriptor for image retrieval 255
10.4 Experiments 261
10.5 Conclusions 269
References 270
11 Precise shape estimation of dressed subjects from two-view
image sets 273
P.Y. Mok, S. Zhu
11.1 Introduction 273
11.2 Related work in human modeling 274
11.3 Method 276
11.4 Potential application for bespoke suit tailoring—A case
demonstration 285
11.5 Conclusion 289
Acknowledgments 290
References 290
Index 293