资源列表
functions
- 图像阈值分割，基于matlab的二维Renyi熵算法的灰度图像分割-Image threshold segmentation, matlab based two- dimensional Renyi entropy algorithm gray- scale image segmentation
improve_otsu
- 图像的阈值分割，基于matlab的一维改良otsu聚类算法的灰度图像分割-Image threshold segmentation, matlab-based one-dimensional improved otsu clustering algorithm for grayscale image segmentation
otsu
- 图像的阈值分割，基于matlab的一维otsu聚类算法的灰度图像分割-Image threshold segmentation, matlab-based one-dimensional otsu clustering algorithm for grayscale image segmentation
Extract-stripe-centerline
- 具有GUI界面的matlab程序，可提取条纹中心线，并且对其进行自动定级。-With the GUI interface of the matlab program can be extracted stripes centerline, and its automatic rating.
Code_including_Spectral_Matching
- 利用基于图谱理论进行图谱匹配，从而进行目标识别。参考资料 2005 ICCV A Spectral Technique for Correspondence-Using the map theory based on the map matching, so as to identify the target. Reference material： 2005 ICCV A Spectral Technique for Correspondence
feijiejeijiance
- 肺结节检测 ，包括肺部粗提取，肺结节提取，特征提取，与特征分析，以及最后的分类！- U80BA u7D3 u53D0 u53D0 u53D0 u53D0 u53D6 uvd0 U4E0E u7279 u5F1 u5206 u6790 uFF0C u4EE5 u53CA u6700 u540E u7684 u5206 u7C7B uFF01
BranchCuts
- 基于路径跟踪法的相位解缠程序，以枝切法为例。实现图像的相位缠绕以及解缠- U57FA u4E8 u8EF3 u7R09 u7E0B u5E8F uFF0C u4EE5 u679D u5207 u6CD5 u4E3A u4F8B u3002 u5B9E u73B0 u56FE U50CF u7684 u76F8 u4F4D u7F20 u7ED5 u4EE5 u53CA u89E3 u7F20
47328595
- 文件中包含原始图和经拉普拉斯锐化后的结果图以及C代码-File contained in the original figure and the Laplace sharpening result diagram and C code
subset_4_6
- 数字图像相关中的亚像素位移计算方法之牛顿迭代法的函数。参数包括参考图像、变形图像和迭代步长-The Function of Newton s Iteration Method for Sub- pixel Displacement Calculation in Digital Image Correlation. The parameters include the reference image, the deformed image, and the iterative step
GRABCUT
- matlab与C++混编的grabcut分割程序，只需画框即可提取目标-grabcut algorithm
19854810images-defogging
- 基于双边滤波的图像去雾系统设计，含有人机交互界面GUI。联系扣609-553134-Based on the bilateral filter image fog system design, including human- computer interaction GUI. Contact deduction 609-553134
GAIJINBIANYUANJIANCE
- 改进的canny边缘检测 非常的好用 我已经试过了，好东西大家分享 -Improved canny edge detection is very easy to use I have tried, good things we share Thank you