thresholding

Library for processing and manipulating images.

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

Outlier Detection Thresholding

Non-Intrusive Load Monitoring (NILM) aims to predict the status or consumption of domestic appliances in a household only by knowing the aggregated power load. NILM can be formulated as regression problem or most often as a classification problem. Most datasets gathered by smart meters allow to define naturally a regression problem, but the corresponding classification problem is a derived one, since it requires a conversion from the power signal to the status of each device by a thresholding method. We treat three different thresholding methods to perform this task, discussing their differences on various devices from the UK-DALE dataset. We analyze the performance of deep learning state-of-the-art architectures on both the regression and classification problems, introducing criteria to select the most convenient thresholding method.

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

Paddy Leaf Disease Detection Using SVM Classifier - Matlab Code

Medical Image Processing Techniques

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

Two methods for segmenting skin on ultrasound B-mode images

A collection of code for processing images

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

Shadow Detector

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

A gesture based Mouse controller using openCV and PyMouse

Basic Image Processing in C, Matlab and Python

See movement patterns over time using Python and OpenCV

Simple image filtering and segmentation on MCU and FPGA

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.