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MATLAB and Octave Functions for Computer Vision and Image Processing

15 years 7 months ago
MATLAB and Octave Functions for Computer Vision and Image Processing
Great Matlab and Octave function implementation for hot computer vision algorithms such as Feature detection via Phase Congruency, Spatial feature detection, Non-maxima suppression and hysteresis thresholding, Edge linking and line segment fitting, Test grating for edge detection, Image denoising, Surface normals to Surfaces, Scalogram calculation, Anisotropic diffusion, Grey scale transformation and enhancement, Functions supporting projective geometry, Matching, Model fitting and Robust estimation, Fingerprint enhancement, Interesting images, ASCII Image Generation, Image Display, Image Writing and Miscellaneous.
P. D. Kovesi
Added 19 Apr 2009
Updated 19 Apr 2009
Authors P. D. Kovesi
OS All OS
Language Matlab
  1. Feature detection via Phase Congruency
  2. Spatial feature detection
  3. Non-maxima suppression and hysteresis thresholding
  4. Edge linking and line segment fitting
  5. Test grating for edge detection
  6. Image denoising
  7. Surface normals to Surfaces
  8. Scalogram calculation
  9. Anisotropic diffusion
  10. Grey scale transformation and enhancement
  11. Functions supporting projective geometry
  12. Matching
  13. Model fitting and Robust estimation
  14. Fingerprint enhancement
  15. Interesting images
  16. ASCII Image Generation
  17. Image Display, Image Writing and Miscellaneous
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