README.md

Basic Digital Image Processing Tasks

This repository contains basic implementations of image processing algorithms in python.

Required Libraries

• PIL

$ pip install pillow

• opencv-python

$ pip install opencv-python

Algorithms

Gradient

$ python gradient.py

Original	Gradient

Image Negative

$ python negative.py binary.jpeg binary

Original	Binary Negative

$ python negative.py lena.jpg gray

Original	Grayscale Negative

$ python negative.py lena.jpg rgb

Original	RGB Negative

Image Segmentation

$ python Segmentation.py

Original	Segmented

Centroid

$ python Centroid.py

Original	Centroid
	Top Left Top Right Bottom Left Bottom Right

Connected Component Labelling

$ python ccl4.py

Original	CCL4 Labelled

Histogram Equalization

$ python hist_eq.py

Original	Histogram Equalized

Local Histogram Analysis

Original	Local Histogram

Morphology

$ python Simple.py

Original	Morphology
	Erosion Dilation Opening Closing

Sharpening

$ python sharpen.py

Original	Sharpened

Skeletonization

$ python Skeletonization.py

Smoothing

$ python AvergingFilter.py

Original	Averaging Filter

$ python gaussian.py

Original	Gaussian

$ python unsharp_masking.py

Original	Unsharp Masking

$ python median.py

Original	Median

XY Cuts

$ python XY_Cuts.py

Original	XY Cuts

Template Matching

$ python TemplateMatching.py

Template	Matched in Image