Digital Image Processing course works
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Updated
Feb 2, 2022 - Jupyter Notebook
Digital Image Processing course works
Stereo disparity estimation by Normalized Cross Correlation, SGM algorithms, and performance optimization.
This repository includes template matching with four different similarity measures, Butterworth low-pass filters for noise reduction, and Butterworth high-pass filters for edge detection.
Using NCC for Object Recognition Paper and MATLAB script snippet
Implementation of algorithms which were done as a part of Digital Image Processing course
A MATLAB code which reads numbers in a video, references, and calculates drop dynamics' characteristics
Matlab GUI for uREPET, a simple user interface system for recovering patterns repeating in time and frequency in mixtures of sounds.
This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU
Searching the location of a template or a target image.
Stereo-image depth reconstruction with different matching costs and matching algorithms in Python using Numpy and Numba
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
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