TPAMI_matching_demo

求一个图像的最大内接矩形面积。 步骤： 1.相机标定。首先根据物像关系式求出其中的参数。注意参数求出后要进行参数校验。 2.从背景中分离出目标 3.边缘检测 4.目标形状参数计算。(For an image of the largest inscribed rectangle area. Steps: 1. Camera calibration. First of all object-image relationship in accordance with the parameters obtained. Attention to the parameters obtained after parameter calibration. 2. From the context of isolated target 3. Edge detection 4. Target shape parameters.)

首先读入图像，转化成hsi彩色空间，然后只对亮度I分量作直方图均衡化，最后合成三个分量返回到RGB图，但是这种方法容易使颜色失真，失去了部分图像细节。(First read in the image, into the hsi color space, and then only on the brightness I component for histogram equalization, the final synthesis of the three components of return to RGB chart, but this method is easy to make color distortion, loss of part of image detail. )

对图像进行平滑去噪，提高图像的质量，为后期的图像处理打基础(very good)

该代码实现序列图像配准和重建过程，包含多种算法，配准算法有keren,marcal等，重建算法包含了POCS凸集投影算法(The code sequence of image registration and renewal process, including a variety of algorithms, registration algorithms are keren, marcal etc. reconstruction algorithm contains POCS POCS algorithm)

简单背景下的红外目标检测，本程序用背景差分法实现目标检测，效果很好。(Simple under the background of the infrared target detection, the background difference method is used to implement target detection program, the effect is very good. )

hessian矩阵在图像处理中的应用。根据图像所得函数，建立相应的hessian矩阵(hessian matrix in image processing applications. The resulting function according to the image, to establish the corresponding hessian matrix)

说明：  KMEANS代码段，用于图像分割，已配置完成(KMEANS,use to achieve image segmentation)

calibration摄像机镜头的校正程序(calibration Calibration camera lens calibration procedure)

ostu二值化算法vc实现，基于MIL图像处理软件包将图像解析，通过ostu求取二值化阈值，实现二值化算法(ostu binarization algorithm to achieve vc, MIL image processing software package based on the image resolution, strike through ostu binarization threshold binarization algorithm to achieve)

这个实例就像一个魔镜一样，能把原始图像照出各种变换效果,是基于MFC的多文档应用程序(This example is like a mirror,which can convert original image according to a variety of effects)