Digital Image Processing with Python

Basic techniques of Digital Image Processing
Images in a suitable data structure.
2-D transformations on the images: i. Translation
ii. Rotation
iii. Scaling
iv. Shearing
v. Reflection
2-D transformations on the images: i. Negative
ii. Logarithmic
iii. Gamma
iv. Affine
v. Cropping
Feature detection techniques: i) Hough Transform
ii) Harris and Hessian
iii) SIFT
iv) SURF
v) HOG
Optical Flow using Lucas kanade Method
Background Subtraction from images

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Assets		Assets
1-Basic techniques of Digital Image Processing.md		1-Basic techniques of Digital Image Processing.md
1-Basic techniques of Digital Image Processing.pdf		1-Basic techniques of Digital Image Processing.pdf
2-ImagesUsingDataStructure.ipynb		2-ImagesUsingDataStructure.ipynb
3-Tranformation.ipynb		3-Tranformation.ipynb
4-Transformations.ipynb		4-Transformations.ipynb
5-FeatureDetection.ipynb		5-FeatureDetection.ipynb
6-OpticalFlow.ipynb		6-OpticalFlow.ipynb
7-backgroundSub.ipynb		7-backgroundSub.ipynb
8-faceDetection.ipynb		8-faceDetection.ipynb
README.md		README.md

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