Reviewing, selecting and evaluating features in distinguishing fine changes of global texture

Author:

Ortiz-Jaramillo B.,Orjuela-Vargas S. A.,Van-Langenhove L.,Castellanos-Dominguez C. G.,Philips W.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Reference75 articles.

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3. Mirmehdi M, Xie X, Suri J (2008) Handbook of texture analysis, 1st edn. Imperial College Press, London

4. Zeuch N (2000) Understanding and applying machine vision, 2nd edn. Marcel Dekker, New York, pp 1–7

5. Siew LH, Hodgson RM, Wood EJ (1988) Texture measures for carpet wear assessment. IEEE Trans Pattern Anal Mach Intell 10:92–105

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1. Automation in quality monitoring of fabrics and garment seams;Automation in Garment Manufacturing;2018

2. iFAS: Image Fidelity Assessment;Lecture Notes in Computer Science;2017

3. Feature selection for surface defect classification of extruded aluminum profiles;The International Journal of Advanced Manufacturing Technology;2015-07-19

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