fftchazhi

说明：  一种基于粒子滤波的测向定位跟踪算法，一种基于粒子滤波的测向定位跟踪算法。(A particle filter based on the finding and location tracking algorithm, a particle filter based on the finding and location tracking algorithm.)

纹理图像分割matlab程序，附带测试纹理图像图像，另外还有一篇高质量相关英文论文和一篇中文论文，供研究纹理分割的同学学习。(Texture image segmentation matlab, the supplementary test texture image image, in addition to a high quality related English papers and a Chinese paper, for research students texture segmentation study. )

说明：  通过高斯、指数、瑞利、gamma、pearson、weibull模型分别对同质区域的SAR图像的强度分布进行拟合(The intensity distributions of SAR images in homogeneous regions are fitted by Gauss, exponential, Rayleigh, gamma, Pearson and Weibull models respectively.)

这是一个实现从RGB到HSI的互换的程序,你可以将一个你所喜欢的(This is an implementation from RGB to HSI swap program, you can take a you like)

下面是利用卡尔曼滤波的方法，实现雷达对目标的跟踪:一目标沿水平方向运动，起始位置为（－2000米，1000米），运动速度为15米/秒，扫描周期T＝2秒， 米，采用蒙特卡洛方法对跟踪滤波器进行仿真，仿真次数为100次。(Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the starting position (2000m, 1000m), the motion speed of 15 m/s, the scan period T = 2 seconds, rice, Monte Carlo method using the tracking filter simulation, simulation 100 times.)

使用CGAL库对人体三维网格分割并且把分割后的网格展开到一个平面上(using cgal to segment a mesh an expend )

利用数学形态学对云层背景下的目标进行检测识别，有两种方法。 (Using mathematical morphology of clouds in the context of target identification, there are two ways.)

通过对彩色图像的处理，来计算某一个区域的面积。(The color image processing to calculate the area of ​ ​ a region.)

1、读取显示所给PET图像（SE2IM210）。 2、学习imhist函数，画出所给PET图像的直方图。 3、根据直方图为该PET图像选择合适的显示窗（imshow参数），使胸 部轮廓等解剖结构可见。 4、根据直方图选择合适阈值，分割肿瘤区域与正常区域，计算肿瘤区 域内图像灰度均值、方差、最大值及最小值。(1 give PET images displayed, read (SE2 IM210). 2, learning, imhist function, draw the give PET image histogram. 3, according to the histogram for the PET image to choose the appropriate display window (imshow parameters), make bosom Outline of anatomical structures such as visible. 4, according to the histogram, choose appropriate threshold segmentation tumor area and normal area, calculating the tumor area In the domain of image grayscale average and variance, the maximum and minimum values.)

Calculate the Laplacian of an image, can be accelerated by the GPU.