LevelSetMethods

经典的图像分割算法ostu,去两峰值之间的峰谷为阀值(Classical image segmentation algorithms ostu, to the peak and valley between two peaks as the threshold)

根据指定字符分割字符串，VC++精选编程源码，很好的参考。(According to the specified character segmentation character string, VC++ select programming source code, a good reference.)

一种基于特征点的图像匹配算法 一种基于特征点的图像匹配算法(Feature point based image matching algorithm based on feature points matching algorithm)

说明：  雷达发射波形。回波的模拟，以及匹配滤波。加窗控制旁瓣，以及MTD处理(Radar transmitting waveform. Echo simulation and matched filtering. Windowing control sidelobe and MTD processing)

双峰法是一种简单的阈值分割方法，即如果灰度级直方图呈现明显的双峰状，则选双峰之间的谷底所对应的灰度级作为阈值分割。(Two peaks is a simple threshold segmentation method, that is, if the gray level histogram showed a clear bimodal shape, then choose between the two peaks corresponding to the bottom of the gray level as threshold segmentation.)

这个代码是基于论文“Saliency Detection via Graph-Based Manifold Ranking”下的程序源码，作者是Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang, and Xiang Ruan 功能1：使用canny算子计算图像的二值边缘图 (The code is for paper "Saliency Detection via Graph-Based Manifold Ranking" by Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang, and Xiang Ruan Procedures: 1. compute a binary edge map of the image using the canny method. )

图象数据透明化源码，主要使用两种方法使图象透明显示：一种是用画板载入画图片，画出方式选择透明白色；另一种是将图象数据字节集化，并按高度和宽度逐一改变颜色使颜色透明。(Transparent image data source, the main use of the image transparent display two methods : one is to use Sketchpad loaded Picture , Draw Mode Select transparent white; the other is a set of bytes of image data , and press)

该源代码主要是利用bagging,adboosting等集成学习的方法进行图像融合处理，效果甚好！(The main source is the use of bagging, adboosting ensemble learning methods such as image fusion, the effect is very good!)

说明：  matlab绘制，非线性分叉图，非线性动力学(Matlab drawing, nonlinear bifurcation diagram, nonlinear dynamics)

1．选择一幅图像，对该图像进行DCT块操作（将图像分成8×8小块，对每个小块进行DCT变换）。 2.利用屏蔽矩阵对DCT系数进行区域选择，然后进行逆变换（IDCT），合成原图像，计算合成图像的PSNR。 3.选择一小波函数，对一幅图像进行分解，显示各变换系数，观察其规律，并进行小波逆变换，合成原图像。 (1. Select an image, the image DCT block operations (the image is divided into 8 × 8 small pieces of each small piece for DCT transform). 2. The use of shielding on the DCT coefficient matrix of regional choices, and then inverse transform (IDCT), synthesis of the original image, calculating the synthetic image PSNR. 3. To select a wavelet function, decomposition of an image to show the transform coefficients, to observe its laws, and inverse wavelet transform, the original synthetic image.)