资源列表
image_block
- 几个将图像分块，将分块图像拼接，和裁减图像的实用小程序-several image block to block image mosaic, and the reduction of small images of practical procedures
Aitken
- In numerical analysis, Aitken s delta-squared process is a series acceleration method, used for accelerating the rate of convergence of a sequence. Its early form was known to Seki Kōwa and was found for rectification of the circle, i.e. the calculat
novalLaplacian
- 在vc++6.0环境下实现了Laplacian算子，并提供了二值图像、叠加显示等多种显示方式-In vc++6.0 environment to achieve the Laplacian operator, and provides a binary image, superimposed display a variety of display
112321243124
- 基于matlab的关于图像处理的中值滤波与最小值滤波。-Based on the matlab for image processing, median filtering and the minimum filtering.
OBMC
- 此代码通过OBMC(重叠块运动补偿)实现了视频插帧运算。利用已有的运动向量和前后两帧图像，通过OBMC算法，求出中间内插帧-This video frame interpolation operator code OBMC (overlapped block motion compensation). Using the existing motion vectors and two of front and rear image is obtained through the the OBMC
hough_circle
- hough算法实现圆检测，matlab实现，内含详细的注释-hough algorithm circle detection, matlab achieved, contains detailed notes
yuan_NLM
- 我们提出一种新的基于图像中所有像素的非局部平均的算法，非局部平均（NL-means）。-We propose a new algorithm based on all the pixels in the image non-local average, the non-local average (NL-means).
based_entropy
- 根据《基于信息熵的图像分割阈值迭代改进算法》论文实现的一个小函数，函数功能是实现目标图像与背景图像的分割，能够提取出感兴趣图像的位置和边缘信息,重要部分有注释-Based on the " threshold of image segmentation based on information entropy iterative improvement algorithms papers to achieve a small function function function is t
Modified-HausdorffDist
- 文件中是改进的hausdorff距离匹配算法，避免了外部离散点的干扰，优化了计算方法，实现起来更加完美。-In the File,there is the improved Hausdorff distance matching algorithm, avoiding the interference of external discrete points, method, realizes more perfect.
cv
- 基于目标跟踪的最简单CV模型的matlab源程序-CV module matlab
shexianqiujiao
- 判断线段AB是否与矩形范围有交集，可以-To determine whether the line AB intersect with the rectangle
SRAD
- 各向异性扩散相干斑降噪，可以在增强边缘的同时滤出噪声，效果很好！-Anisotropic diffusion, coherent noise can enhance the edge of the filter out the noise at the same time, the effect is very good!