oppenalimonky's Stars
Blinue/Magpie
An all-purpose window upscaler for Windows 10/11.
cats-oss/android-gpuimage
Android filters based on OpenGL (idea from GPUImage for iOS)
Ewenwan/MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
ConfettiFX/The-Forge
The Forge Cross-Platform Rendering Framework PC Windows, Steamdeck (native), Ray Tracing, macOS / iOS, Android, XBOX, PS4, PS5, Switch, Quest 2
AlloyTeam/AlloyImage
基于HTML5的专业级图像处理开源引擎。An image processing lib based on html5.
Ewenwan/ShiYanLou
学习C & C++ & python&汇编语言 LLVM编译器 数据结构 算法 操作系统 单片机 linux 面试
ronja-tutorials/ShaderTutorials
unity shader tutorials
linuxxx/EasyPR_Android
EasyPR移植到Android版本
martymcmodding/qUINT
Collection of general-purpose effects for the ReShade shader injector.
jbikker/bvh_article
Code accompanying the blog post on bvh construction.
wolfgangfengel/GPUZen
contains the source code accompanying the book GPU Zen.
Milchreis/processing-imageprocessing
Collection of basic image processing algorithms for processing
UTwelve/3AReal
3AReal FF14
AomanHao/Matlab-Image-Dehaze-Enhance
图像去雾、图像增强、灰度直方图均衡化等
ignaciorlando/fundus-vessel-segmentation-tbme
In this work, we present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained, fully connected conditional random field model. Standard segmentation priors such as a Potts model or total variation usually fail when dealing with thin and elongated structures. We overcome this difficulty by using a conditional random field model with more expressive potentials, taking advantage of recent results enabling inference of fully connected models almost in real-time. Parameters of the method are learned automatically using a structured output support vector machine, a supervised technique widely used for structured prediction in a number of machine learning applications. Our method, trained with state of the art features, is evaluated both quantitatively and qualitatively on four publicly available data sets: DRIVE, STARE, CHASEDB1 and HRF. Additionally, a quantitative comparison with respect to other strategies is included. The experimental results show that this approach outperforms other techniques when evaluated in terms of sensitivity, F1-score, G-mean and Matthews correlation coefficient. Additionally, it was observed that the fully connected model is able to better distinguish the desired structures than the local neighborhood based approach. Results suggest that this method is suitable for the task of segmenting elongated structures, a feature that can be exploited to contribute with other medical and biological applications.
hermosayhl/image_processing
inplement some basic image processing algorithms
cache-tlb/L0Smoothing
This is an OpenCV implementation of "Image smoothing via L0 Gradient Minimization"
mwkm/SVF
Sub-window variance filter for Multi-scale Image Decomposition
KenyonZhao233/Retinal-Vessel-Segmentation
Matlab and python implementation of retinal blood vessel segmentation
AXERA-TECH/ax620e_bsp_sdk
Linux BSP APP & Samples for AXera Pi Zero(AX620Q)
CaptainEven/Algorithms
Algorithms's implementions for testing 一些机器学习,统计,三维重建等算法实现和测试
Mahtab-Shabani/Retinal-Blood-Vessel-Segmentation-by-Active-Contour
In this project, I implement an enhanced active contour method that uses discrete wavelet transform for energy minimization to increase the accuracy.
Time1ess/MyCodes
AomanHao/Matlab-Image-Evaluate
图像处理评价标准
SimonVictorLy/OCTM-Project
Image Optimized Contrast Tone Mapping project.
yoonbaeJeon/EWMA
Exponential Weighted Moving Average filter ref: https://dev.intelrealsense.com/docs/depth-post-processing
yoonbaeJeon/FastGlobalImageSmoothing
C++ implementation of FGS(https://sites.google.com/site/globalsmoothing/)
adarshmisra98/Blood-vessel-detection
Implementation of blood vessel detection algorithm in retinal images using Matlab.
Wang-Yujue/Computer-Vision
Bayer Interpolation, Projective Trans, Image Filter and Edge Detection, Image Pyramids and Sharpen, PCA, Harris Detector, Image Stitch, Fundamental Matrix, Bag-of-Words, Multilayer Perceptron
Bikorir/section