Melody Kakrabah (mel-nunya)

mel-nunya

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Location:Ghana

Twitter:@mel_nunya

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Melody Kakrabah's starred repositories

opendrop

An open Apple AirDrop implementation written in Python

Language:PythonLicense:GPL-3.0Stargazers:8454Issues:80Issues:105

ml-road

Machine Learning Resources, Practice and Research

Language:PythonLicense:MITStargazers:3035Issues:136Issues:1

KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

Language:PythonLicense:MITStargazers:2768Issues:45Issues:160

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

TD3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

Language:PythonLicense:MITStargazers:1631Issues:19Issues:40

ISIC2018

ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection

Blur-and-Clear-Classification

Classifying the Blur and Clear Images

Markov-Random-Field-Project

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

Language:Jupyter NotebookStargazers:112Issues:4Issues:2

Skin_Lesion_Detection_Deep_Learning

Skin lesion detection from dermoscopic images using Convolutional Neural Networks

DigitalHairRemoval

There has been numeruous advancements towards utilizing deep networks, ANNs, AI, etc in tasks like detecting the skin disease, type of tumour, etc. However, it becomes difficult for the networks to learn the features since, most of the skin images are occluded by hair. Thus, there is a need for pre-processing of the skin images to remove these obstructing hair. This sample project aims to remove the hair noise from the skin image with the help of Morphological filtering.

Language:PythonStargazers:53Issues:2Issues:0

wiener-median-comparison

A comparison of Median filter and Wiener filter in image restoration.

Skin-lesion-Segmentation-using-grabcut

Skin lesion segmentation is one of the first steps towards automatic Computer-Aided Diagnosis of skin cancer. Vast variety in the appearance of the skin lesion makes this task very challenging. The contribution of this paper is to apply a power foreground extraction technique called GrabCut for automatic skin lesion segmentation in HSV color space with minimal human interaction. Preprocessing was performed for removing the outer black border. Jaccard Index was measured to evaluate the performance of the segmentation method. On average, 0.71 Jaccard Index was achieved on 1000 images from ISIC challenge 2017 Training Dataset.

AIML-Image-Enhancement

AI ML based Image enhancement module built in Python. It is used for improving the quality of images using different filters in openCV. It works better with gray-scale images.

Language:PythonLicense:MITStargazers:15Issues:4Issues:0

skin-lesions-classifier

Skin Lesions Classification using Computer Vision and Convolutional Neural Networks

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7Issues:2Issues:0

Mean-and-Median-Filter

Image Procession program homework #3

Language:PythonLicense:GPL-3.0Stargazers:7Issues:2Issues:0

adaptive_wiener_filters

Locally Adaptive Wiener Filters for Image Denoising

Language:PythonStargazers:5Issues:3Issues:0

image_segmentation

Deep Learning segmentation approaches

Language:PythonStargazers:2Issues:3Issues:0

skin-lesion-classifier-

skin-lesion-classifier

Language:Jupyter NotebookStargazers:2Issues:1Issues:0

ImageSegmentationUsing_KMeans

Image segmentation using opencv

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