Image Processing Laboratory (M-tech)

Image processing & Pattern Recognition Laboratory (MECE 293)

General information about the Laboratory: The Lab is used by PG students in 2nd semester in ECE department. The lab is located at 2nd floor, room no. 305. Number of student per session is 18. Number of setup available is 18 and number of students per setup in one.

Course Outcomes

CO1: Able to analyze the information of an image using the effect of point processing and geometric transformation.

CO2:Able to apply the histogram equalization techniques and morphological operations to enhance the image.

CO3:Able to realize the frequency domain representation of an image.

CO4:Able to analyze the edges detection techniques.

CO5: Able to design the classifier using ANN and Fuzzy logic

CO6: Able to apply the clustering and feature selection techniques using Fuzzy and ANN.

Name of the experiments performed

  1. Introduction to Python / Matlab
  2. Point processing (Image Negatives, Log Transformations, Power-Law Transformations, Piecewise-Linear Transformation)
  3. Geometric transformations (rotation, scaling and translation)
  4. Histogram equalization
  5. Morphological operations (Erosion, Dilation, Opening, Closing)
  6. Two dimensional Fourier transform
  7. Linear filtering using convolution
  8. Non linear filtering using convolutional mask
  9. Edge detection
  10. Feature representation (selection and extraction)
  11. Linear perceptron learning
  12. Bayesian classification
  13. Learning the classifier from the datasets
  14. Data clustering

Name of the innovative experiments

  • Study and implementation of a research paper

Facility available in the laboratory

  • Software: Python / Matlab with image processing toolbox
  • Desktop PC: High end computing facility available