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CV_Image_Processing

Implemention of CV essentials in Matlab/Python Implemented the following Introduction to Signal Processing - Linear Algebra for Signal Processing – Complex Bases for Real Signals – Convolution – From DFT to FFT- Z Domain Representation of Signals – Digital Filter Design- Elements of digital image processing - Image model - Sampling and quantization - Relationships between pixels - Image Transforms - Discrete Fourier Transform, Discrete Cosine Transform, Discrete Wavelet Transform –Image Enhancement: Enhancement by point processing - Spatial filtering - Enhancement in the frequency domain - Color Image Processing - Image Segmentation - Representation and Description - Morphological Image Processing: Dilation and Erosion - Opening and Closing - Some basic morphological algorithms.

For the Course 19AIE303 SIGNAL & IMAGE PROCESSING

credits: Course Mentor Dr. Sowmya V (https://scholar.google.co.in/citations?user=HQikt6IAAAAJ&hl=en)

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Implemention of CV essentials in Matlab/Python

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