Image Processing Course - HW3
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Updated
May 12, 2016 - C++
Image Processing Course - HW3
Demo Code to complement my presentation about Edge Detection
initial ideas into Image processing in C#
This program implements Convolutional Neural Network concept to form horizontal and vertical edge detector from scratch
Lab exercises of computer vision course in NTUA
Concepts of Image Processing is being used to identify the lane more precisely
This is a simple project regarding people detection whether they are in a queue or not. the that I had used in that is Open vino toolkit, python and jupyter notebook
C++ and Python3 implementation for Canny edge detector from scratch but for C++ still using openCV matrix data structure (promise that's all)
Real time Edge detection with hosted flask server using Canny edge detector + KNN algorithm
The Python OpenCV library is mostly preferred for computer vision tasks, and it will be used since the beginning.
retinal eye vessel segmentation with MATLAB
NTUA ECE Computer Vision Source Codes
Edge detection on achromatic images written in pure C
The implementation of edge detection algorithms introduced in my technical report called "A Study on Edge Detection Algorithms for Grayscale Images".
Application of Image Segmentation algorithms to understand “How sustainable is the pace of Urbanisation & Net land usage?” scoped on two geographical locations.
Image Denoising and Classification using Machine Learning . Can detect saltpepper/speckle/gaussian/Rayleigh/uniform/exponential noises , and apply the best filter to denoise the image . Canny Edge Detection is also a feature along with creating images using prompts through OpenAi "DALLE" API ... backend (python)
Scalable 2d ball movement, with random origins, velocity, directions and colors.
Edge detection includes a variety of mathematical methods that aim at identifying edges, curves in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. This program explores various methods to approach edge detection
These source code was developed to be part of the Digital Image Processing Course
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