applepeo

说明：  非常好的图像处理全面软件，包括滤波等基本操作(Very good overall image processing software, including basic operations such as filtering)

一个计算多边形面积和周长的程序, 同时可以把多边形显示出来, 直观展现多边形形状.(A polygon area and perimeter calculation procedures, the polygons can be displayed simultaneously, intuitive show polygonal shape.)

人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测(Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection)

图象处理用于对BMP格式的图象进行几何校正.(image processing used to BMP format images geometric correction.)

打开bmp位图文件 彩色转灰阶 直方图均衡 直方图规定 灰阶线性化(Open the bmp grayscale bitmap image binarization functions connected domain extraction features)

实现bmp图像读入和写出，彩色图像灰度化，直方图均衡化(Implement bmp image read and write, color image graying, histogram equalization)

可以打开各种图像格式，并显示，很好很强大(Can open a variety of image formats)

网格简化， 将复杂的带有很多细节的物体的三维立体网格进行任意比例的简化，使得其减少点和面片的数量并保持物体的基本特征，以达到加快图像显示及压缩文件的效果。(Mesh simplification, the complex three-dimensional grid with many of the details of the object simplified in any proportion, such that it reduce the number of points and surfaces of the sheet and keep the basic characteristics of the object, in order to achieve the speed up of the image display and the effect of the compressed file .)

esprit算法对有干扰的信号频率进行估计,一种基于多文档得图像合并技术，搭建OFDM通信系统的框架。( esprit algorithm signal frequency interference can be assessed Based on multi-document image obtained combining technique, Build a framework OFDM communication system.)

针对粒子概率假设密度(PH D)滤波算法在虚警、漏检情况下，b标状态估计不稳定和b标可观测性车弱的问题，提出了一种基于序贯融合的粒子PH D滤波方法，利用雷达和红外传感器多目标进行融合跟踪杏基本思想是先对红外传感器进行粒子PH D滤波，丙将红外传感器滤波结果作为雷达的预测值，然后利用P达观测的数据进行更新，这样通过雷达和红外传感器交替上作保证目标状态的可观测性，从滤波器输出结身即可得到目标的状态信息仿真结果表明，在虚警、漏检和密集目标环境下，该方法是有效的和稳健的(The problem of target state estimation instability and observability weakerin the presence offalse alarms and missed detection was deal with. On the basis of sequential fusion, a particleprobabil- ity hypothesis density(PHD) filter for multrsensor multrtarget tracking was proposed. Observed da to collected from the infrared sensor was estimated with the particle PHD filter. Then the results from the filter were set as the radar predicted value by the radar observations. The multrtarget state can be updated to guarantee observing the target state. In this way, the global state is updated at the fusion center. Simulation results show that the proposed algorithm is effective and robust under the false warning, omission and concentrated target environment. )