资源列表
loc_variance
- 计算一个图像的局部方差，输入一个图像，输出一个相同大小的局部方差图像-Computing the local variance of an image, enter an image, the output of a local variance of the same size image
TV_denoising
- 使用TV模型以及其改进模型对一个模糊图像进行去噪处理，-Using the TV model and the improved model on a fuzzy image denoising,
Project
- 可以计算出背景图片和前景图片的模糊长度，使用方法为相关系数法。-Can calculate the fuzzy length of the background image and prospects of pictures, use of the correlation coefficient method.
Blur_length
- 使用相关函数法估计运动模糊图像的模糊长度。-Using the correlation function method to estimate the motion blur blur length.
Blur_Direction
- 使用方向微分法估计模糊方向，插值采用双线性插值。-Using the directional derivative to estimate the blur direction, interpolation using a bilinear interpolation.
curve
- 一个简单平面函数绘图函数，菜鸟上路，请多指教！-A simple plane function plotting functions
mfc_refresh
- 实现屏幕无产闪烁刷新，利用了MFC的虚拟内在技术-Of screen and flickering refresh, use the MFC' s virtual intrinsic
2012-Arcgis-delvelop-HJ
- ArcEngine开发常用功能合集,VB代码比较实用-ArcEngine development of the common functions collection, VB code is more practical
Otsu-threshold-segmentation
- 吴一全等采用灰度级-梯度级构建二维直方图，并提出快速迭代算法。改进的二维Otsu法阈值分割快速迭代算法。-Wu congruent grayscale- gradient level to build a two-dimensional histogram, and a fast iterative algorithm. Improved dimensional Otsu threshold segmentation fast iterative algorithm.
the-two-dimensional-Otsu-method
- 张新明等提出二维Otsu法的准分法，采用8-去心邻域模板构建二维直方图，并给出了改进的快速递推公式。-Xinming proposed quasi-sub method of the two-dimensional Otsu method, the neighborhood template to build two-dimensional histogram using 8- to the heart, and gives improved fast recursive formula.
two-dimensional-Otsu-method
- 提出了基于二阶广义概率的方法，并通过调整广义概率的参数来提高算法的通用性。-Based on the generalized second-order probability, and to improve the versatility of the algorithm by adjusting the parameters of the generalized probability.
Otsu-method
- 申铉京等提出三维直方图重建和降维的Otsu阈值分割算法。通过重建三维直方图，减弱了噪声干扰，将三维直方图区域划分由八分法改为二分法，使得阈值搜索的空间维度从三维降低到一维。-Shin Hyun Beijing and proposed a three-dimensional histogram reconstruction and dimensionality reduction of the Otsu threshold segmentation algorithm. Weakened by