Basic Implementation of Digital Image Processing in MATLAB

Uses MatLab's Image Processing & Computer Vision Toolbox

Stock images such as cameraman.tif, pout.tif, circuit.tif, rice.png, coins.png, etc are built into MatLab & hence no external download is required.

Program codes can be run by pressing 'F5'.

• Point Processing Techniques
  • Digital Image Negative
  • Image Thresholding
  • Contrast Stretching
• Arithmetic Operations (Add, Subtract, Brighten, Darken)
• Digital Zooming
• Histogram Equalization
• Logical Operations (AND, OR, ExOR, NOT/Complement)
• Neighbourhood Processing Techniques
  • Low Pass Filtering
  • High Pass Filtering
  • Median Pass Filtering
• Edge Detection Operations
  • Sobel Operator
  • Prewitt Operator
• Morphology Operations
  • Dilation
  • Dilation & Erosion
• Discrete Fourier Transformation (DFT)
• Improved Gray Scale Quantization (IGS)

Are you a programmer, engineer or designer who has a great idea for another Basic DIP Implementation? Maybe you're just a beginner or you've spotted a bug? Feel free to grab our code from Github and tinker with it. Don't forget to smash that Pull Request button.