In particular, as an example, a template image processing program (in C) is provided (first item below) to demonstrate how to input, process and out an image in Unix/Linux environment. You may need to modify the code if you prefer to use other operating system.

• Template image processing code
  

• collection of utility functions for matrix operations
  

• Singular value decomposition (SVD)
  

• Matrix inverse and determinant
  

• Eigen values/vectors of symmetric matrix
  

• One-dimensional fast Fourier transform (FFT)
  

• One-dimensional fast discrete cosine transform (DCT)
  

• One-dimensional Walsh-Hadamard transform (WHT)
  

• Conversion between RGB and HSI
  

• Image format conversion from bmp to pbm
  

• Image format conversion from pbm to bmp
  

• Conversion from RGB to HSI (to be called within Matlab)
  

• Conversion from HSI to RGB (to be called within Matlab)
  

• Numerical derivative
  

• Utility functions for array operations (to be included in other in-house code).
  

• The following three C programs are needed for Canny edge detection:
  • Canny_edge
    
  • hysteresis.c
    
  • pgm_io.c
    
  Compilation: gcc -o canny_edge canny_edge.c hysteresis.c pgm_io.c -lm
  Usage: canny_edge image_filename sigma tlow thigh
  where tlow < thigh are both fractions between 0.0 and 1.0.
  Example: canny_edge panda.pgm 2 0.5 0.7
  The resulting edge image is "panda.pgm_s_2.00_l_0.50_h_0.70.pgm"