demo_mtjsrc_OxfordFlower_17

hough 检测直线 算法简单 是静态图像中检测直线的快速实现( Hough detecting )

马尔科夫蒙特卡罗的matlab实现程序。上传分享，希望可以借鉴他人更好的。(Monte Carlo matlab procedures. Upload and share the hope that we can learn from others better)

对于离焦图像进行自动对焦的图像判定，通过对一些列的图像，从离焦到对焦再到离焦进行图像分析从而获得对焦图像的图片。(For the defocus image autofocus image determination, through a series of images into focus and then from defocus defocused image analysis to obtain a focused image of the picture.)

SSR算法，自己已经测试过了，绝对可以使用！！！！而且我自己增加了直方图显示。希望能帮助到大家~~(SSR )

这是一个matlab的源码。代码实现了Nonrigid Registration Using Free-Form Deformation.(It is a matlab source code. It implements "Nonrigid Registration Using Free-Form Deformation".)

基于除法模型的鱼眼图像校正代码，包含摄像机内参和畸变参数在内的5个参数，无需进行填补空洞的操作。(Based fisheye image correction code division model, including internal camera and distortion parameters, including five parameters, without the need for filling voids operation.)

通过手动框选目标区域，然后进行自动跟踪，使用的算法是Camshift，自适应均值漂移(By manually selecting the target area, then automatic tracking, using the algorithm is Camshift, adaptive mean shift)

可同时实现多幅图片的傅里叶能量谱统计与分析！得到相应通道能量的信息！(Multiple images to achieve the power spectrum of Statistics and analysis!)

本文主要研究基于水平集方法的活动轮廓模型图像分割，在回顾活动轮廓模 型发展的基础上，介绍了曲线演化理论及其水平集方法，证明了水平集方法可以 有稳定的数值实现方式且其处理拓扑变化的自然性，进一步引出了变分水平集方 法。 本文介绍了两种不同的几何活动轮廓模型：基于梯度信息的李纯明模型以及 基于区域信息的 Chan-Vese 模型（C-V 模型）。在分析上述两模型的优缺点上，提 出了一种改进的 C-V 模型，改进模型引入了距离约束项，同时对基于区域的外部 能量项进行了改进，使得水平集函数重新初始化寓于模型的演化之中，分割结果 对参数的依赖性减小。 (This paper mainly study image segmentation of active contour model based on level set. After reviewing the development of the active contour model, curve evolution and level set method are presented, then we proved that the level set method has a stable numerical realization and can describe the topology change of the contour naturally, in addition we introduce level set of variational method. We introduce two different GAC models in this paper: Li Chunming model which is based on gradient information and Chan-Vese model （C-V model） which is based on region information. Based on the drawbacks and advantages of these two models, we improve the C-V model by adding penalizing energy term of signed distance function, at the same time, mending the external energy term which based on region information, then the re-initialization of the level set can accomplish in the model evolution, and the degree of the segmentation result depend on the parameters decline. )

利用FFT傅里叶变换，去除影像中的条带噪声(Removal of image noise)