bLUe - A simple and comprehensive image editor featuring automatic contrast enhancement, color correction, 3D LUT creation, raw postprocessing, exposure fusion and noise reduction

This project is used for estimating calories.

This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

A MATLAB Implementation of GrabCut (Excluding Border Matting and User Editing)

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

利用OpenCV的Grabcut算法，在Android上实现抠图，只是用Java调用OpenCV函数实现的抠图

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.

My implementation of 《"GrabCut" - Interactive Foreground Extraction using Iterated Graph Cuts》

OpenCVのgrabCutを利用した2値セグメンテーション向けのアノテーションツールです

A GPU-only implementation of DenseCut for a RealSense camera

An iOS image editing app. Computer vision based foreground segmentation with OpenCV and Grabcut algorithm.

This repo records my computer vision practice. There are 4 projects have been archived so far.

No description provided.

Grabcut under qt version

OpenCV4 Capture Utility

馬体格分析

Face detection. Foreground extraction via corners, faces, chroma. Contours and midpoints. 3d skinned mesh with bones. Bindable segments. Export 3d/texture/bone glTF (for 3d-print, etc...).

Implementation of GrabCut in Typescript

Image segmentation using classifier

This is an image processing toolbox that gives the functionality of selective blurring and object removal. It has a web-based GUI and can easily be used by following the instructions below. It incorporates: Selective Search based object selection Grab Cut based object selection Motion Blur Exemplar Based image inpainting TELEA image Inpaintaing

An interactive GUI for segmentation labeling

GrabCut is an algorithm which removes the background in an image from a selected part of the image.In the OpenCV sample , the implementation works only for a single image and the area for selecting the foreground is fixed. This program allows you to select an area according to your wish from a video file or a camera feed.

This repository will contain the implementation of both GrabCut and Poisson Blending algorithms, including code and a detailed report.

Algorithm practice exercises using OpenCV

An interactive GUI for cutting objects from an image

A computer vision project implementing two advanced image processing algorithms: GrabCut for automatic foreground segmentation and Poisson Image Editing for seamless image composition.

Salient Object Detection to cutout the Object in an image.

Interactively remove image background using OpenCV GrabCut implementation

This project is a fun way of celebrating India's 72nd Republic Day using Python