分割面及各颜色分量

利用Kalman Filter进行机动目标跟踪的例子,附有详细的说明文档,(Examples of using Kalman Filter for maneuvering target tracking, a detailed documentation,)

说明：  IPL库是Intel为了配合其MMX,SSE,SSE2以及将来的VLSW等技术发布的图像处理库 支持1,8,16,位有/无符号，32位有符号，32位浮点类型数据类型。 支持RGB,CMYK,YCACB,YUV,XYZ,色彩空间，支持alpha通道 支持矩形ROI,通道ROI，遮罩 支持分块图像，错误处理，用户定义函数 支持图像数学，几何，滤波，图象统计，色彩空间变换操作。(IPL is the database to accommodate its Intel MMX, SSE, SSE2 and future technologies such as VLSW issued by the image processing support for 1, 8, 16, spaces with/without symbols, and symbols are 32, 32-bit floating-point type data types. Support for RGB, CMYK, YCACB, YUV, XYZ color space, support alpha channel support rectangular ROI, ROI access, support shielding block images, error handling, user-defined functions to support image mathematics, geometry, filtering, image statistics, color space conversion operations .)

仿真了均匀线性阵的波束形成，对比了不同加权下的波束形成。可以改变来波方向，效果明显。(Simulation of a uniform linear array beamforming, comparison under different weighting beamforming. You can change the direction of the incoming wave, the effect is obvious.)

Delaunay三角网的逐点插入法. 原始作者 @author Paul Chew * * Created July 2005. Derived from an earlier, messier version.(Delaunay triangulation point by point insertion method. Original author @ author Paul Chew** Created July 2005. Derived from an earlier, messier version.)

可以实现图像篡改检测，附带有几张图片，检测效果一般(Image tamper detection can be achieved, with pictures, the detection effect is general)

说明：  电磁波在均匀等离子体中的传输，等离子体密度适中(microwave propagation in uniform plasma)

voronoi图的Fortune算法源码,visual c++(Fortune s algorithm source code of voronoi diagram with visual c++)

说明：  对高光谱图像进行目标检测，首先滤波处理然后降维，利用输出能量最小原则用于探测亚像元的小目标。(In target detection of hyperspectral images, first filter processing and then dimensionality reduction are used to detect sub-pixel small targets by using the principle of minimum output energy.)

最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu in 1979. It is an adaptive threshold determination method, also known as the Otsu method, or OTSU for short. It is based on the grayscale characteristics of the image and divides the image into two parts: the background and the target. The larger the variance between the background and the target, the greater the difference between the two parts that make up the image. When the part of the target is wrongly divided into backgrounds or part of the background is mis-divided into goals, the difference between the two parts will be smaller.)

用vc编写的一个多边形变换程序(vc prepared using a polygon transformation process)