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Basic techniques of Digital Image Processing
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Images in a suitable data structure.
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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
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Background Subtraction from images
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Repository to learn Digital Image processing using Python- OpenCV module.