KO
|
EN
gitlite — search
Search
#python
#java
#python3
#arduino
#golang
#machine-learning
#rust
#html
#flask
#javascript
#seismology
#nodejs
Learn-DIP
★ 22
Open GitHub ↗
《数字图像处理第四版》书中等一些基础算法的实现，包括相关库的调用
Download README (.md)
Explore Similar Repositories
keycloak-tokenmapper-example
:
Example Keycloak OIDC protocol token mapper - maps a random lucky number to tokens/info endpoint - demo purposes only!
cond_transformer_2
:
A CLIP conditioned Decision Transformer.
Job-and-Talent-Recommendation-System
:
No description available.
EMBER2
:
Alignment-free structure prediction using protein language models
predictit-arbitrage
:
[NO LONGER ACTIVE] Arbitrage opportunities for the prediction market PredictIt
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
Learn-DIP
?
Download (.md)
# Learn-DIP - 记录一些《数字图像处理第四版》书中等一些基础算法的实现，包括相关库的调用。如果有库尽量会使用库函数来更快捷的完成，毕竟重复的轮子尽量少造。 - 记录一些学习 3DV 时经典的计算机视觉算法，姑且也算图像处理 ## 构成 尽可能按照一个模块一个文件夹来，整体会用 Python 来实现，具体代码运行的环境参考文件： - [Python 环境](./env_Python.md) ## 主要部分 - 频率域滤波 - [带阻/带通滤波](FrequencyDomainFilter/band-stop.py) - [陷波滤波](FrequencyDomainFilter/notch.py) - 图像去噪 - [去除椒盐噪声(自适应中值法)](Denoising/AdaptMedianFilter) - [运动模糊恢复(维纳滤波&约束最小二乘方滤波)](Denoising/MotionBlurRecovery) - 形态学 - [骨架提取](Morphology/Skeleton) - 图像分割 - 点线和边缘检测 - [线检测(霍夫变换)](ImageSegmentation/LowLevelDetector/Hough) - [Canny](ImageSegmentation/LowLevelDetector/Canny) - [Harris 角点检测](ImageSegmentation/FeatureDescriptors/HOG/harris.py) - 特征描述子 - [HOG](ImageSegmentation/FeatureDescriptors/HOG) - 图割法分割 - 聚类法分割 - [K-Means](ImageSegmentation/Clustering/K-Means/segmentation.py) - [像素特征(基于像素点的图片分割)](ImageSegmentation/Clustering/Pixel-Features) - 超像素法分割 - [简单线性迭代聚类(SLIC)](ImageSegmentation/SuperPixels/slic.py) - 图像调整 - [Seam-Carving](ImageAdjusting/SeamCarving/seam_carving_demo.py) - [图像金字塔](ImageAdjusting/ImagePyramid/image_pyramid.py) - [Metric rectification](ImageAdjusting/AffineRectification/metric_rectification.py) - 图像分类 - [KNN](ImageClassification/KNN/k_nearest_neighbor.py) - 目标追踪 - [Lucas-Kanade](ObjectTracking/LucasKanade/simple_lucas_kanade.py) - 相机标定 & 位姿优化 - [棋盘格标定]() ## 额外部分 C++ 的代码整理了出来，姑且先放在这里一些，具体环境参考[C++ 环境](./env_CXX.md) - [GMM](CXX/GMM/CXX) - [LSD](CXX/LSD)
