Computer Vision Practices

• all:
  • Chapter_02:
    • Number_01--> Loading, Exploring and Showing an Image
    • Number_02--> Accessing and manipulating pixels
    • Number_03--> Drawing a line on an image
    • Number_04--> Drawing a rectangle on an image
    • Number_05--> Drawing a rectangle on an new canvas
    • Number_06--> Drawing a circle on an image
    • Exercises:
      • 01--> Drawing a solid circle at the center of the canvas
      • 02--> Drawing two concentric circles with the outermost circle having a radius of 1.5 times the radius of the inner circle
  • Chapter_03:
    • Number_01--> Calculating the aspect ratio and resizing the image
    • Number_02--> Image translation along the x- and y-axes
    • Number_03--> Image rotation around the center of the image
    • Number_04--> Image flipping horizontally, Vertically and then horizontally plus vertically
    • Number_05--> Image cropping
    • Number_06--> Addition of two images
    • Number_07--> Bitwise operations
    • Number_08--> Masking
    • Number_09--> Splitting and merging channels
    • Number_10--> Smoothing and/or blurring by mean filtering or averaging
    • Number_11--> Gaussian filtering
    • Number_12--> Median blurring
    • Number_13--> Bilateral blurring
    • Number_14--> Simple thresholding
    • Number_15--> Adaptive thresholding
    • Number_16--> Otsu's Binarization
    • Number_17--> Sobel Derivative
    • Number_18--> Laplacian Derivative
    • Number_19--> Canny edge detection
    • Number_20--> Contours
  • Chapter_04:
    • Number_01--> Grayscale Histogram
    • Number_02--> RGB Color Histogram
    • Number_03--> Histogram Equalizer
    • Number_04--> GLCM
    • Number_05--> Calculating image statistics using GLCM
    • Number_06--> HOG
    • Number_07--> LBP
    • Exercises:
      • 01--> Plot a histogram of an image with 32 bins
      • 02--> Create a histogram of a masked image