This project is for Electrocardiogram(ECG) signal algorithms design and validation, include preprocessing, QRS-Complex detection, embedded system validation, ECG segmentation, label your machine learning dataset, and clinical trial...etc.

An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images

Removal of stains from noisy docs using image processing, machine learning, neural nets and autoencoder

Meter display segmentation and reading the digits using OCR

Official pytorch implementation of the paper [Adaptive confidence thresholding for monocular depth estimation]

Coding computer vision related algorithms from "scratch".

本项目提供处理服务熔断、限流、超时等逻辑的工具。

AdapTrack: Adaptive Thresholding-Based Matching For Multi-Object Tracking

Image segmentation various methods

Degraded documents binarization using Sauvola method with the use of integral images to improve efficiency.

OpenCV practice implementation repo

This is a web based application which takes as input the image of a handdrawn flow chart with text and polygonal hapes, and digitailzes it.

Re-implement image processing techniques from scratch.

messing around with opencv

Signal and Systems course project - Fall 2021 - voice activity detection using gaussian kernel and adaptive threshold

Hospitals and medical facilities routinely generate various documents such as patient medical records and prescriptions. These documents are essential for insurance claims processing. To streamline this process and improve efficiency, I've developed a solution that enables hospitals to scan these documents and automatically extract the crucial data

Processes images with background into output images with white background.

examining thresholding methods and using them to extract templates for Template Matching to find an object in a video

Image Processing with openCV4 & Python