examining thresholding methods and using them to extract templates for Template Matching to find an object in a video
-
Updated
Jan 22, 2021 - Jupyter Notebook
examining thresholding methods and using them to extract templates for Template Matching to find an object in a video
Image Processing with openCV4 & Python
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
Use of Deep Learning for Optical Character Recognition
Processes images with background into output images with white background.
Internal project, developed in AKKA Research, AKKA Benelux department. It involves a mobile application, which helps the automation of the tire serial number registration and recognition. This code is splitted in different parts: Image processing for better initial images, artificial data creation to increase the dataset which feeds the neural n…
messing around with opencv
Re-implement image processing techniques from scratch.
Signal and Systems course project - Fall 2021 - voice activity detection using gaussian kernel and adaptive threshold
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.
OpenCV practice implementation repo
Degraded documents binarization using Sauvola method with the use of integral images to improve efficiency.
Image segmentation various methods
Coding computer vision related algorithms from "scratch".
Meter display segmentation and reading the digits using OCR
Official pytorch implementation of the paper [Adaptive confidence thresholding for monocular depth estimation]
Removal of stains from noisy docs using image processing, machine learning, neural nets and autoencoder
An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images
Add a description, image, and links to the adaptive-thresholding topic page so that developers can more easily learn about it.
To associate your repository with the adaptive-thresholding topic, visit your repo's landing page and select "manage topics."