DigImpro

Simple library coded in TI Basic to help student with the course of Digital Image Processing.

Implemented functions

• Conv2d(m, k)
• conv1d(f, h)
• bilinear(x,y,m,v)
• nearestneighbor(x,y,m,v)
• covariance_vec(x,y,b,v)
• covariancemat(x,b,v)
• erode(m,k)
• dilation(m,k)
• open(m,k)
• close(m,k)
• hitormiss(m,b)
• white_top_hat(m,b,v)
• black_top_hat(m,b,v)
• dft(x)
• idft(x)
• dft_2d(m)
• idft_2d(m)
• bayes_osc(x1,x2,a)
• morpho_grad_in(m,b)
• morpho_grad_out(m,b)
• morpho_grad(m,b)

Tested on

• TI-nspire CX II-T CAS

Paramters of the functions

• Conv2D(m,k)
  • m: matrix
  • k: kernel
• Conv1D(f,h)
  • f: vector 1
  • k: vector 2
• bilinear(x,y,m,v)
  • x: x coordinate
  • y: y coordinate
  • m: matrix
  • v: verbose mode
• nearestneighbor(x,y,m)
  • x: x coordinate
  • y: y coordinate
  • m: matrix
• covariance_vec(x,y,b,v)
  • x: vector x
  • y: vector y
  • b: bias (0 = no bias / N-1 | 1 = bias / N)
  • v: verbose mode
• covariancemat(x,b,v)
  • x: matrix
  • b: bias (0 = no bias / N-1 | 1 = bias / N)
  • v: verbose mode
• Morphological Transformation
  • erode(m,k)
  • dilation(m,k)
  • open(m,k)
  • close(m,k)
  • white_top_hat(m,b,v)
  • black_top_hat(m,b,v)
  • morpho_grad_in(m,b)
  • morpho_grad_out(m,b)
  • morpho_grad(m,b)
    • m: matrix
    • k-b: structucual matrix (put 1 where you need)
    • v: verbose mode
• hitormiss(m,b,v)
  • m: matrix
  • b: structural element (must be 0,1, or infinite for dont care)
  • v: verbose mode
• Fourier
  • dft(x)
  • idft(x)
  • dft_2d(m)
  • idft_2d(m)
    • x: vector line
    • m: matrix
• Pattern Classification
  • bayes_osc(x1,x2,a,b) -> bayes Optimal statistical classifier
    • x1: classe1
    • x2: classe2
    • a: formula to use, page 926
    • b: bias

WARNING

in TI BASIC the index of the matrix start from 1, not from 0.