蛇算法的matlab代码

特征点提取方法--SIFT的简化后的算法-Feature point extraction method--SIFT algorithm of the simplified

中值滤波的C代码，学习图像的可以参考下，有比较高的参考价值-Median filter of C code, learning can refer to the next image, has a relatively high reference value

边缘就是指图像局部亮度变化最显著的部分，它是检测图像局部变化显著变化的最基本的运算。对于数字图像，图像灰度灰度值的显著变化可以用梯度来表示，以边缘检测Sobel算子为例来讲述数字图像处理中边缘检测的实现-edge means partial image brightness changes the most significant part of it is partial image change detection significantly change the basic arithmetic. For digital images, image intensity values of gray significant gradient changes can be expressed as Sobel edge detection to operator as an example to talk about digital image processing to achieve Edge Detection

有关多目标跟踪算法及其实现的博士论文一篇，供参考-Related to multi-target tracking algorithm and its realization of a doctoral thesis, for reference

1)具体功能为:鼠标绘制折线,给出折线的缓冲区宽度,提取出折线的平行线. 2)本程序是利用地图代数中距离变换的方法(栅格方法),提取折线的平行线.和笔者前一阵子上传的折线的平行线算法(矢量方法)可做对比 3)注:矢量方法中没有考虑垂直的特殊情况,增加个判断条件便可消除. -1) the specific features as follows: the mouse line drawing, broken line give the width of the buffer, to extract the broken line parallel line .2) This procedure is the use of map algebra in the distance transform method (grid method), Extraction of broken parallel lines. and the author of the line long ago From the parallel line algorithm (vector method) can be compared 3) Note: The vector method does not consider the special circumstances of the vertical, increasing the conditions of a judge could be removed.

新写的Harris算法，检测效果非常有效！-The new algorithm written by Harris, detection effect is very effective!

显示如何利用Camshift算法进行彩色目标的跟踪-Show how to use color Camshift algorithm tracking

图像复原 图像退化 运动模糊复原 非约束复原 约束复原-Image Restoration of degraded motion-blurred image to recover non-binding constraint recovery recovery

用中值滤波 的方法，对图像进行前处理 ，主要是将图像进行平滑的处理。对于后续的处理有帮助。-with median filtering method, the image pre-processing, mainly to image smoothing treatment. Regarding the follow-up treatment would be helpful.

corner detection 角点检测的详细程序，也许对于你检测目标有辅助作用-corner detection angle detection of the procedures in detail, perhaps for your testing objectives supporting role