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Optimizing feature extraction in image analysis using experimented designs, a case study evaluating texture algorithms for describing appearance retention in carpets

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Abstract
When performing image analysis, one of the most critical steps is the selection of appropriate techniques. A huge amount of features can be extracted from several techniques and the selection is commonly performed based on expert knowledge. In this paper we present the theory of experimental designs as a tool for an objective selection of techniques in image analysis domain. We present a study case for evaluating appearance retention in textile floor coverings using texture features. The use of experimental design theory permitted to select an optimal set of techniques for describing the texture changes due to degradation.
Keywords
STATISTICAL EVALUATION, texture analysis, image analysis, Experimental designs

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Chicago
Orjuela Vargas, Sergio Alejandro, Rolando Augusto Quiñones Lara, Benhur Ortiz Jaramillo, Filip Rooms, Robain De Keyser, and Wilfried Philips. 2011. “Optimizing Feature Extraction in Image Analysis Using Experimented Designs, a Case Study Evaluating Texture Algorithms for Describing Appearance Retention in Carpets.” In Proceedings of SPIE, the International Society for Optical Engineering, ed. MS Schmalz, GX Ritter, J Barrera, and JT Astola. Vol. 8136. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
APA
Orjuela Vargas, S. A., Quiñones Lara, R. A., Ortiz Jaramillo, B., Rooms, F., De Keyser, R., & Philips, W. (2011). Optimizing feature extraction in image analysis using experimented designs, a case study evaluating texture algorithms for describing appearance retention in carpets. In M. Schmalz, G. Ritter, J. Barrera, & J. Astola (Eds.), Proceedings of SPIE, the International Society for Optical Engineering (Vol. 8136). Presented at the Conference on Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
Orjuela Vargas SA, Quiñones Lara RA, Ortiz Jaramillo B, Rooms F, De Keyser R, Philips W. Optimizing feature extraction in image analysis using experimented designs, a case study evaluating texture algorithms for describing appearance retention in carpets. In: Schmalz M, Ritter G, Barrera J, Astola J, editors. Proceedings of SPIE, the International Society for Optical Engineering. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2011.
MLA
Orjuela Vargas, Sergio Alejandro, Rolando Augusto Quiñones Lara, Benhur Ortiz Jaramillo, et al. “Optimizing Feature Extraction in Image Analysis Using Experimented Designs, a Case Study Evaluating Texture Algorithms for Describing Appearance Retention in Carpets.” Proceedings of SPIE, the International Society for Optical Engineering. Ed. MS Schmalz et al. Vol. 8136. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2011. Print.
@inproceedings{1865813,
  abstract     = {When performing image analysis, one of the most critical steps is the selection of appropriate techniques. A huge amount of features can be extracted from several techniques and the selection is commonly performed based on expert knowledge. In this paper we present the theory of experimental designs as a tool for an objective selection of techniques in image analysis domain. We present a study case for evaluating appearance retention in textile floor coverings using texture features. The use of experimental design theory permitted to select an optimal set of techniques for describing the texture changes due to degradation.},
  articleno    = {81360F},
  author       = {Orjuela Vargas, Sergio Alejandro and Qui{\~n}ones Lara, Rolando Augusto and Ortiz Jaramillo, Benhur and Rooms, Filip and De Keyser, Robain and Philips, Wilfried},
  booktitle    = {Proceedings of SPIE, the International Society for Optical Engineering},
  editor       = {Schmalz, MS and Ritter, GX and Barrera, J and Astola, JT},
  isbn         = {9780819487469},
  issn         = {0277-786X},
  keyword      = {STATISTICAL EVALUATION,texture analysis,image analysis,Experimental designs},
  language     = {eng},
  location     = {San Diego, CA, USA},
  pages        = {15},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {Optimizing feature extraction in image analysis using experimented designs, a case study evaluating texture algorithms for describing appearance retention in carpets},
  url          = {http://dx.doi.org/10.1117/12.893102},
  volume       = {8136},
  year         = {2011},
}

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