图像处理实验室部分-与Othman Soufan博士合作
Image Processing-Lab-Section -with Dr. Othman Soufan UpMer (2024-09-19, Jupyter Notebook, 0KB, 下载0次)
双陆棋图像处理
backgammon image processing (2024-06-23, Jupyter Notebook, 0KB, 下载0次)
基于颜色和纹理特征的knn在金枪鱼肉分级中的应用
tuna meat grading using knn with color and texture features (2024-06-13, Jupyter Notebook, 0KB, 下载0次)
使用深度神经网络理解vouse V1中的颜色处理。与Katrin Franke和BCM合作。
Understanding color processing in vouse V1 using Deep Neural Networks. In collaboration with Katrin Franke and the BCM. (2024-06-10, Jupyter Notebook, 0KB, 下载0次)
关于钻石数据集的信息在本课程中，您将使用一个关于大约54000颗圆形切割钻石的价格和属性的数据集。您将经历解释性数据可视化的步骤，系统地从单变量可视化开始，经过双变量可视化，最后是多元可视化。最后，您将处理分析中选定的绘图，以便将其要点清楚地传达给其他人。
Information on the Diamond Dataset In this lesson, you ll be working with a dataset regarding the prices and attributes of approximately 54,000 round-cut diamonds. You ll go through the steps of an explanatory data visualization, systematically starting from univariate visualizations, moving through bivariate visualizations, and finally multivariate visualizations. Finally, you ll work on polishing up selected plots from the analysis so that their main points can be clearly conveyed to others. (2024-03-02, Jupyter Notebook, 0KB, 下载0次)
本项目的重点是预测美国金县地区的房价。我们尝试了几种回归模型来解决这个问题，并比较了每个算法的结果。首先执行EDA以探索数据中的趋势，然后进行一些特征工程。
This project is focused on predicting the house prices in the king county region of US. We tried several regression models to approach this problem and compared the results from each of the algorithm. EDA is performed first to explore the trends in the data followed by some feature engineering. (2024-02-25, Jupyter Notebook, 0KB, 下载0次)
本文的源代码为“颜色感知双分支DCNN用于高效植物病害分类”。
Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification". (2024-02-07, Jupyter Notebook, 0KB, 下载0次)
该知识库提出了一种基于视觉密码学（VC）的高精度有损加密数据识别方法。通过设计双识别网络和使用双边滤波器的图像质量增强方法。
This repository presents a high-precision identification method for lossy encrypted data based on visual cryptography (VC). Through the design of a twin identification network and an image quality enhancement method using bilateral filters. (2023-12-28, Jupyter Notebook, 0KB, 下载0次)
论文“用于压缩图像质量增强的深度双域半盲网络”的Pytorch实现，
Pytorch Implementation of the Paper "Deep dual-domain semi-blind network for compressed image quality enhancement", (2023-10-18, Jupyter Notebook, 0KB, 下载0次)
该项目在Azure Cloud上部署了一个深度学习模型，以从MRI图像中预测帕金森病，提供了一个用户友好的web...，
This project deploys a deep learning model on Azure Cloud to predict Parkinson s disease from MRI images, providing a user-friendly web app for disease diagnosis and enhancing medical accuracy and speed. (2023-10-09, Jupyter Notebook, 0KB, 下载0次)
通过结合高光谱成像和scRNA-seq，与Ewa实验室合作分析项目的代码，
Code for analyzing the project collaborate with Ewa s lab by combining hyperspectral imaging and scRNA-seq, (2023-10-05, Jupyter Notebook, 0KB, 下载0次)
关于使用计算机视觉和Image Pro与Fritz International博士合作检查手术器械的RnD...，
RnD regarding Inspection of Surgical Instruments in collaboration with Dr. Fritz International using Computer Vision as well as Image Processing Techniques (2023-08-20, Jupyter Notebook, 0KB, 下载0次)
用于基于Retinex的微光图像增强的双自动编码器网络，，
Dual-AutoEncoder-Network-For-Retinex-Based-Low-Light-Image-Enhancement,, (2020-04-16, Jupyter Notebook, 22250KB, 下载0次)
基于多分辨率金字塔渲染的掩模纹理合成
Masked Texture Synthesis with Multiresolution Pyramid Rendering (2017-07-09, Jupyter Notebook, 14747KB, 下载0次)
这个项目是在Alkimat期间在UFSC（圣塔卡塔大学...
This project was made in Alkimat during a computer vision master s course on UFSC (Universidade Federal de Santa Catarina). The scope of the development was to segment a printed layer on an image shoot from a Laser Powder Bed Fusion (LPBF) machine developed in Alkimat. (2022-12-13, Jupyter Notebook, 15980KB, 下载0次)
生物医学成像和分析项目，与COVID-19 CT L的注册、分割和量化合作...
Biomedical Imaging and Analysis Project, working with Registration, Segmentation, and Quantification of COVID-19 CT Lung Scans. Registration is done with B-Spline, while Segmentation process uses the Watershed Algorithm. For Quantification methods a gradient magnitude is applied before conducting a Fourier Transform in order to filter and (2021-06-03, Jupyter Notebook, 4061KB, 下载0次)
图像字幕是用文字描述图像内容的任务。这一任务处于合作与发展的交叉点...
Image Captioning is the task of describing the content of an image in words. This task lies at the intersection of computer vision and natural language processing. (2022-10-06, Jupyter Notebook, 12896KB, 下载0次)
2019年9月18日-31日塔里木林Bilgisayar Mühendisleri Odas ve Kad k y Belediyesi（DEA Kad k y）taraf ndan düzenle...
18-31 A?ustos 2019 tarihlerinde Bilgisayar Mühendisleri Odas? ve Kad?k?y Belediyesi (?DEA Kad?k?y) taraf?ndan düzenlenecek olan Yapay Zeka Yaz At?lyesi i?in g?rüntü i?leme dersi kapsam?nda haz?rlanm??t?r. (2019-08-23, Jupyter Notebook, 12258KB, 下载0次)
用于多尺度图像处理的Python工具，包括拉普拉斯金字塔、小波和可操纵金字塔[http:...]（http:www.cns.nyu.edu~lcv-software.php）
Python tools for multi-scale image processing, including Laplacian pyramids, Wavelets, and Steerable Pyramids <http://www.cns.nyu.edu/~lcv/software.php> (2023-04-14, Jupyter Notebook, 217560KB, 下载0次)