Coding used to process drone-captured Near-Infrared Images into Normalised Differential Vegetation Index (NDVI) greyscale images which are then further processed using both a segmentation of ndvi around the tomb region followed by a contour overlay in the perimeter of the tombs. Version 2 uses a standard contour, Version 4 is an attempt, with li…

This Python code utilizes OpenCV to detect and draw circles in an image. It applies grayscale conversion and median blur to reduce noise, then employs the Hough Circle Transform for circle detection. Detected circles are highlighted in red on the image.

Automated Feature Engineering for Building Machine Learning Models [On Hold]

This repository contains the material required for the second delivery of the Computer Vision course of Artificial Intelligence Systems (aa. 2021-2022)

visual (inertia) odometry of a drone with a monocular camera

6.819 final project for determining location in Stata Center from photos

Series of experiments to calculate the real world coordinates of the camera using static images

This project was developed for the Computer Vision course of the Master Degree Artificial Intelligence Systems at the University of Trento.

Classifying buildings in Poznan.

Resulting work from research at Umass Lowell's HRI Lab. A general overview is provided with the link below:

Program to stitch two images

Discover the power of computer vision with OpenCV! Dive into practical examples covering image and video processing tasks, from object detection to augmented reality. Let's unlock new perspectives together! 💡✨

Classification of cans, plastic, and glass bottles using feature extraction and support vector machine method.

Panorama image stitching using SIFT algorithm, Homography, RANSAC and weighted blending in OpenCV.

The provided Python project uses the OpenCV library to perform real-time keypoint detection using the FAST (Features from Accelerated Segment Test) algorithm.

Implementation of Simple Hough Line Detection Algorithm in Python

Automatic muscle tendon junction tracking using deep learning 🦵🏼

Feature point detection and matching between stereo pair images from KITTI dataset.

Contains programs which uses various utilities from openCV