Identification of Animal Fibers with Wavelet Texture Analysis<br />Dr Junmin Zhang<br />Dr Stuart Palmer<br />Professor Xu...
Introduction - Cashmere<br />Source: http://en.wikipedia.org/wiki/<br />File:Old_O102_cropped_small.jpg<br />As cashmere p...
Introduction - blends<br />Source: http://commons.wikimedia.org/wiki/<br />File:Australian_Cashmere_Goats.jpg<br />Current...
Introduction – fibre classification<br />
Introduction – fibre classification<br />
Sample image preparation<br />	Cashmere							Merino wool<br />
Sample image preparation<br />	Cashmere							Merino wool<br />
The 2D dual-tree complex wavelet transform<br />
Fibre surface feature extraction<br />Detail images represent the<br />content of successive <br />frequency bands<br />Th...
In this work, the analysis object is the fibre surface, and the texture feature is defined as:<br />Where M×N is the size ...
Fibre surface feature extraction<br />From the Cashmere Fiber Distinction Atlas, 13 cashmere fibre images and 15 merino fi...
Principal components analysis<br />
Discriminant analysis<br />
Allied work – automatic pilling classification<br />
Future work<br />non-linear neural network classification;<br />testing of the performance of the wavelet texture analysis...
				Thank you for your time<br />
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Identification of Animal Fibers with Wavelet Texture Analysis

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Sp100402

  1. 1. Identification of Animal Fibers with Wavelet Texture Analysis<br />Dr Junmin Zhang<br />Dr Stuart Palmer<br />Professor Xungai Wang<br />Centre for Material and Fibre Innovation<br />Deakin University<br />Australia<br />
  2. 2. Introduction - Cashmere<br />Source: http://en.wikipedia.org/wiki/<br />File:Old_O102_cropped_small.jpg<br />As cashmere processing capacity outstrips available supplies of cashmere, some processors use superfine merino wool to blend with cashmere<br />Cashmere wool blends provide the high quality worsted suiting fabric and produces a lower cost product while exploiting the positive market perceptions associated with the luxury cashmere content<br />
  3. 3. Introduction - blends<br />Source: http://commons.wikimedia.org/wiki/<br />File:Australian_Cashmere_Goats.jpg<br />Current standard test methods for analysing blends of specialty fibres with sheep’s wool are based on scanning electron microscopy<br />The current operator-based methods are tedious and subjective<br />It is desirable to develop an objective, automatic method to identify and subsequently classify animal fibres<br />
  4. 4. Introduction – fibre classification<br />
  5. 5. Introduction – fibre classification<br />
  6. 6. Sample image preparation<br /> Cashmere Merino wool<br />
  7. 7. Sample image preparation<br /> Cashmere Merino wool<br />
  8. 8. The 2D dual-tree complex wavelet transform<br />
  9. 9. Fibre surface feature extraction<br />Detail images represent the<br />content of successive <br />frequency bands<br />The final approximation image<br />contains the low frequency<br />variations in background<br />illumination<br />
  10. 10. In this work, the analysis object is the fibre surface, and the texture feature is defined as:<br />Where M×N is the size of the fibre surface image, and<br /> are the pixel grey-scale values of fibre surface image in scale s and direction k.<br />Fibre surface feature extraction<br />
  11. 11. Fibre surface feature extraction<br />From the Cashmere Fiber Distinction Atlas, 13 cashmere fibre images and 15 merino fibre images were prepared<br />From each of the 28 fibre images a texture feature vector consisting of 24 (6 orientations x 4 scales) energy features was developed<br />Principal component analysis was used to reduce the dimension of the texture feature vector<br />
  12. 12. Principal components analysis<br />
  13. 13. Discriminant analysis<br />
  14. 14. Allied work – automatic pilling classification<br />
  15. 15. Future work<br />non-linear neural network classification;<br />testing of the performance of the wavelet texture analysis method of fibre identification on a larger set of real cashmere and other fibre samples; and<br />the application of the wavelet texture analysis method to the of task analysing/assaying blends of specialty fibres <br />
  16. 16. Thank you for your time<br />

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