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Overview

Usage: python3 pa1.py -<action> <path to image> [<size of filter. An odd number>] [<sigma for Gauss>]

Example: python3 pa1.py -m ../inputImages/image1.png 5

Apply image processing algorithms to apply filters, generate histograms, or apply Canny edge detection.

Potential mandatory action arguments:

    -b       apply box filter. Size input needed.
    -c       apply Canny edge detection. Take high and low inputs
    -e       apply max entropy threshold.
    -ga      apply Gaussian filter. Size input needed. Sigma input needed
    -ga2     apply Gaussian filter using slower 2d method. Size input needed. Sigma input needed
    -gr      get gradient. Defaults to centralized method
    -grb     get gradient using backward method
    -grf     get gradient using forward method 
    -h       generate a histogram of the image's intensity and frequency.
    -help    print help.
    -m       apply median filter. Size input needed.
    -s       apply 3x3 Sobel filter.

Box Filtering

This filter take in a size from the command line. The filter replaces each pixel with the average of the pixels around it based on the given size

originals

3x3

5x5

Median Filtering

originals

3x3

5x5

7x7

Gaussian Filtering

Gradient Operations

Original

Central

Backward

Forward

Sobel Filtering

originals

X

Y

Fast Gaussian Filtering

Fast Gaussian Filtering in implemeinted in function gaussianFilter1D and is about 4 time faster than the 2d method.

using image3-1.png:

2d: 21.4 sec

1d: 5.3 sec

Histogram

it's in here. use -h

Can we use Entropy for thresholding?

yup. use -e

original

after thresholding

Canny Edge Detection

originals

my output using higher= 40 and lower= 25

given output