资源列表
SLICPdbscan
- 运用超像素分割算法对图像进行预分割，再利用dbscan聚类算法进行聚类最终实现图像分割。-The use of ultra-pixel segmentation algorithm for image pre-segmentation, reuse dbscan clustering algorithm to cluster the final image segmentation.
Image-processing-source-code
- 图像处理源代码，基于Hough变换的人眼虹膜定位方法，基于Kalman滤波的目标跟踪，基于模糊集的图像增强方法，基于蚁群算法的图像边缘检测。-Image processing source code, Hough transform based human eye iris location method, Kalman filter based target tracking, fuzzy set based image enhancement method, ant colony algor
ASM模型
- 使用MATLAB软件运行ASM模型对人脸进行检测和拟合(MATLAB software is used to run the ASM model to detect and fit the human face)
L1 Total Variation
- 利用L1范数TV正则化对影像进行超分辨率重建(Super resolution reconstruction of images using L1 norm TV regularization)
LabVIEW图像处理
- 石鑫华图像处理开发宝典pdf版--基于labview的图片处理(Picture processing based on LabVIEW)
基于SIFT特征的图像配准（Matlab源代码）
- sift算法实现，可以实现图像的配准，大量的特征点的寻找(siftThe implementation of sift algorithm can achieve image registration, a large number of feature points)
稀疏分解图像去噪
- 基于稀疏字典和稀疏编码的图像去噪算法，基于低秩约束的高光谱条纹噪声去除，包含论文及代码(Based on sparse dictionary and sparse coding image denoising algorithm, based on low rank constraints of hyperspectral fringe noise removal, including papers and code)
matlab背景差分法
- 利用MATLAB实现图像处理，实现图像背景分离。(Using MATLAB to realize image processing)
DSST_code
- SSD算法是目标检测与分类比较优秀的前沿算法，基于深度学习平台实现，最大的优点是速度快。(It is a matlab code (SSD) for object detection based on deep learning.)
Halcon Project
- 提取图像的感兴趣区域，并提取出光条中心，是在halcon上编程，然后转成C++(The ROI of the image is extracted and the center of the stripe is extracted)
图像分割中常用的水平集方法的matlab源代码
- 图像分割是图像分析的关键步骤，而水平集方法是图像分割的一项热门方法，它有着许多算法不具有的优点，尤其可用于分割背景复杂信息难以提取的医学图像。这里是一些水平集分割图像的matlab的实现例子，希望可以帮到大家。(Image segmentation is the key step of image analysis, while the level set method is a popular image segmentation method, it has many advantages
OpenCV_3_License_Plate_Recognition_Python
- 这是一个基于python和opencvd的车牌定位和识别的代码(This is a license plate location and recognition based on Python and opencvd code)