GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

Vehicle detection, tracking and counting by blob detection with OpenCV on c++.

Computer Vision Essentials in Python Programming Language 🎉

Computer Vision - Impemented algorithms - Hybrid image, Corner detection, Scale space blob detection, Scene classifiers, Vanishing point detection, Finding height of an object, Image stitching.

Detect and track blobs in video

Threshold independent detection and localization of diffraction-limited spots.

[IPAS22] Motion capture arena using only Raspberry Pi and open source libraries

Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/

Blob detection of multiple objects with object indexing and drawning trajectories.

Detection and tracking of tip of tongue

Video/Image processing project using Blob Detection.

This repo contains implementations of some of the classical computer vision algorithms/techniques for feature extraction, feature matching, image transformation, color image reconstruction, image denoising, image classification, and image segmentation.

The FAST ROI library is useful for quickly extracting the coordinates of a rotating rectangular ROI

Blob detection library with example applications. Two examples for the usage on the RaspberryPi uses the coarse h264 motion estimation vector.An other example run on every system with OpenCV.

A sample project to perform blob analysis on images with TensorFlow and Keras to detect blobs and analyze their shape features such as the presence, number, area, position, length, and direction of lumps.

Use Kinect to create '3D mousepads'. This program detects finger position and send TUIO messages to pass them. Linux clone of Space Palette.

Let's walk through on counting Lego using OpenCV's Blob Detection

SymFD is a toolbox for the detection and characterization of edges, ridges, and blobs in 2D images.

Audio processing to compare two pronunciations.

NeuroSense - based on previous state-of-the-art (SOTA) studies, that utilizes a Gaussian mixture model for detecting and analyzing foreground movements, particularly focusing on involuntary twitch-like motions known as fasciculations. This tool aids in identifying these movements accurately, supporting research in neuromuscular conditions.