💻 🧐 NTUA ECE Computer Vision Source Codes
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Updated
Jul 8, 2022 - Jupyter Notebook
💻 🧐 NTUA ECE Computer Vision Source Codes
Image manipulation techniques
This repository acts as an extensive repository of code implementations and resources, covering a range of image processing techniques such as template matching, watershed segmentation, denoising, and more
this project is a CBIR (content based image search) that uses Gabor filters as the main mesure to find simular images to a given query image
This lab focuses on corner detection using the Harris Corner Detector, Gabor filters for texture analysis, and blob detection using LoG, DoG, and DoH methods.
Python implementation of a probability based boundary detection algorithm.
content-based image retrieval system
classification des tumeurs cerebrales and using LBP , Gabor and blur to filter the datasets
Image processing to deep learning practice codes.
Deepfakes detection by machine learning and deep learning
This repository presents the code of the paper titled "Scribble Based Interactive Page Layout Segmentation Using Gabor Filter" published in ICFHR2016.
Reports on solutions to applied problems using MATLAB and Python
The main aim of the project is to implement Content Based Image Retrieval which is one of the most important concepts of computer vision. The bog companies are using this to compare the similarity between the images based on the feature vector of the Targeted image.
Developed an image search and retrieval system based on color, feature and shape.
This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.
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