Outlier Detection Thresholding

Library for processing and manipulating images.

⚠️ This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting household appliance status from aggregated power load data. We explored different thresholding methods and evaluated deep learning models for regression and classification tasks.

A set of algorithms and other cool things that I learned while doing image processing with openCV using C++ and python.

Paddy Leaf Disease Detection Using SVM Classifier - Matlab Code

A collection of code for processing images

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/

Use of Image Processing to detect brain tumour in MRI Scan

Inverse Filtering, Wiener Filter, Image Restoration, Hough Transform, Image segmentation using watershed, thresholding, region growing and region splitting and merging

Medical Image Processing Techniques

Two methods for segmenting skin on ultrasound B-mode images

See movement patterns over time using Python and OpenCV

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.

opencv for face detection, segmentation, recognition, lane findings,

The work presented explains how to segment the brain tumour area in absence of interaction with user basing his technique on a saliency map constructed from three different resonance techniques.

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.

Water level detection using draft marker readings, through the means of computer vision, machine learning and optical flow methods

A gesture based Mouse controller using openCV and PyMouse

Shadow Detector

An image processing library, including methods of filtering, object detection, noise reduction, etc