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Computer Vision Practical

W3.CSS

Computer Vision Practical



Topics for Practical
1. Basic operation on Image:

  • Program to change the Brightness of Image.
  • To Flip the image around the vertical and horizontal line
  • Display the color components of the image.
  • Display of gray scale images.
  • To find the negative of an image.
  • 2. Using histogram for image quality analysis

  • Calculate the Histogram of a given image.
  • Histogram Equalization.
  • 3. Program for Image Filtering

  • Low pass filter :
    1)Average filter
    2)Weighted Average filter
    3)Median filter
  • High pass filters using:
    1) Sobel operator
    2) Laplacian operator
  • Design non-linear filtering.
  • 4. Edge detection with gradient and convolution of an Image

    5. Finding Threshold of Images

  • Program to find threshold of grayscale image.
  • Program to find threshold of RGB image.
  • 6. Program to estimate and subtract the background of an image.

    7. Program to convert color image to gray and hsv

    8. Image Filtering

  • Determination of edge detection using operators.
  • 2-D DFT and DCT.
  • Filtering in Frequency domain.
  • 9. Colour Images

  • Display of colour images.
  • Conversion between colour spaces.
  • 10. DWT & Segmentation of Images

  • DWT of images
  • Segmentation using watershed transform
  • © Bsc Data science. All rights reserved. Developed by Jago Desain