Graphical Models for Random Distributions of Functional Data with Application to fMRI

Outlier Detection Thresholding

The python implementation of algorithm proposed by Z. Wang, "A New Approach for Segmentation and Quantification of Cells or Nanoparticles," in IEEE Transactions on Industrial Informatics, vol. 12, no. 3, pp. 962-971, June 2016, DOI: 10.1109/TII.2016.

A Python-based image processing project using OpenCV to perform edge detection, thresholding, contour detection, and visualization, including bounding boxes on detected contours.

This Python script uses the PIL (Python Imaging Library) to perform image processing operations including bicubic interpolation and binary thresholding on a specified input image.

This project explores a simple yet effective object detection method using OpenCV to identify birds flying in the sky. The solution is designed to detect objects where birds are visibly darker than the background, leveraging computer vision techniques like adaptive thresholding and contour detection.

BasicToolkit is an intuitive image-processing and computer vision desktop app. It offers a range of processing techniques built from scratch, such as filtering, equalizing, active contouring, and much more.

PRIVACY-PRESERVING RECORD LINKAGE METHODS FOR HOMELESSNESS DATA

A project on Image Processing, leveraging PyQt5 for a user-friendly GUI and implementing essential operations like Low Pass Filter, Downsampling, Upsampling, Thresholding, and Negative Image Generation. It offers a visually engaging experience while exploring the realm of image processing techniques.

Adaptive thresholding and contour

Desktop application incorporating different algorithmic segmentation techniques, specifically clustering and thresholding

Data Hiding in Color Images Using Adjacent Mean with Threshold Shifting

Segmentation of Hep2 Images using image processing/machine learning algorithms

A PyQt desktop application for basic image processing techniques along with Jupyter notebook implementation for SNAKES and Hough transformation.

A PyQt desktop application for basic image processing techniques along with Jupyter notebook implementation for SNAKES and Hough transformation.

This project is a comprehensive image processing application designed to perform a wide range of operations on digital images. It provides a user-friendly interface for opening, manipulating, and analyzing images using various techniques and algorithms. It is built using C# and WPF, leveraging the MVVM (Model-View-ViewModel) design pattern.

EdgeVisionCam is a real-time edge detection tool using Python and Pygame. It processes live webcam video to highlight edges and contours, offering a clear view of your environment's features. With an easy-to-use interface and adjustable settings, EdgeVisionCam is ideal for dynamic visual analysis.

This GitHub repository serves as a valuable resource for researchers, developers, and enthusiasts working with AUVs, providing a range of image processing algorithms and tools tailored to enhance visual perception and analysis in underwater scenarios.

Processes video to highlight the eye's region of interest (ROI) with contours and crosshairs using grayscale, blur, and thresholding. Real-time display for easy visualization.