Image Processing with openCV4 & Python
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Updated
Apr 14, 2024 - Jupyter Notebook
Image Processing with openCV4 & Python
examining thresholding methods and using them to extract templates for Template Matching to find an object in a video
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.
Degraded documents binarization using Sauvola method with the use of integral images to improve efficiency.
OpenCV practice implementation repo
Official pytorch implementation of the paper [Adaptive confidence thresholding for monocular depth estimation]
Re-implement image processing techniques from scratch.
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.
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…
Image segmentation various methods
messing around with opencv
Use of Deep Learning for Optical Character Recognition
Signal and Systems course project - Fall 2021 - voice activity detection using gaussian kernel and adaptive threshold
Coding computer vision related algorithms from "scratch".
Meter display segmentation and reading the digits using OCR
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
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