image-preprocessing

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

A simpler way of reading and augmenting image segmentation data into TensorFlow

TensorFlow 2 implementation of the Yahoo Open-NSFW model

Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)

Face Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients.

Algorithm to segment pectoral muscles in breast mammograms

image filtering techniques in python with examples

A python library for automated exploratory data analysis

A GUI for Image Processing

The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction

This repository contains all my exercises and projects for computer vision.

Implementation of an Image Smoothing Algorithm

Implementation notebook of Image Classification and Image Segmentation in Python on Warwick-QU GlaS Dataset.

nyan (not your average name) is an image pre-processing and post-processing library for computer vision tasks.

India Academia Connect AI Hackathon October 2021

⛏️ Contains 4 python modules. Basic OCR using Google's Tesseract on single image and pdf. Auto orientation correction for scanned docs. Auto noise type detection and reduction. Watermark and stain removal on scanned docs. These modules act as preprocessing tools for the best OCR results.

Example of image processing service written in Golang

Optical Character Recognition (OCR) has its ups and downs since the beginning due to the preprocessing step for document images. Researches in this topic shows different OCR performance because they all falls behind in different sections due to some restrictions in the methodology. We are using deep learning network and image processing method like (Zero padding, Image cropping and reconstruction) to overcome these restrictions for better OCR performance. We are focusing on variable document images for preprocessing and trying to save all the information so that OCR gives much better performance than existing approaches.

Extract text from handwritten infomation on bank checks images

en: this project is Extracting time in Analog Clock using openCV kr: opencv를 이용한 아날로그 시계에서 시간 검출

A faster Dataset Creation Tool for Agriculture plot images captured aerial vehicles

Implementation of fast Data Augmentation for Image Classification / Detection tasks.

Python script for simple augmentation of multiple images. Methods include horizontal flip, vertical flip, and rotation by a user input degree.

CenOTAPH: COlour and Texture Analysis toolbox for PytHon

This repository contains all the files of the project OCR for Telugu.

This repository contains script to preprocess data from one dataset relative to the characteristics of a target dataset using distributing shifting and scaling.

programs to performs an image processing methods