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this codes describe several kind of image filters

说明：  matlab编写高斯光束高斯光束模拟的焦点附近光场分布(Matlab programming of Gaussian beam the distribution of light field near the focus of Gaussian beam simulation)

说明：  在一幅图像中对单人脸进行定位,原理是基于多模板匹配(locate face in one picture in which there is a single face，its theory base on many templates matching)

基于数学形态学实现振动信号降噪。研究了数学形态滤波器对振动信号在不同类型、不同强度噪声干扰下 的降噪能力，提出了采用开一闭和闭一开组合数学形态滤波器实现旋转机械振动信号降噪处理的方法。通过仿真 计算及实例，检验了形态滤波器的滤波效果，表明数学形态滤波器可以有效剔除脉冲、降低随机噪声干扰，提高 振动信号的信噪比。(The vibration signal noise reduction based on mathematical morphology. Mathematical morphology filter vibration signals in different types, different intensity noise, noise reduction capabilities, proposes using open-closing and close the opening combination of mathematical morphology filter rotating machinery vibration signal noise reduction processing. Simulation and examples, test the morphological filters filtering effect, indicating that the mathematical morphological filter can effectively excluded the pulse, to reduce random noise and improve the signal-to-noise ratio of the vibration signal.)

此压缩包包含了数字图像处理算法的基本M函数和ICE界面定制的M函数。(This package includes the digital image processing algorithms of the basic M function and ICE interface customized M function.)

该论文提出了一种改进的扩展卡尔曼滤波方法，实现对红外，雷达传感器的信息融合跟踪算法。性能优于传统EKF(This paper presents an improved extended Kalman filter method, to achieve the infrared, radar sensor information fusion tracking algorithm. Better performance than traditional EKF)

从两幅图中找到相匹配的点的程序，可以调整搜索范围(failed to translate)

复杂场景中的红色交通标志牌检测与识别，结合颜色与圆形的标志牌定位，然后提取特征，最后用模板匹配的方法实现识别，内附图片和程序说明，对初学者有帮助(Red detection and recognition of traffic signs in complex scenes, the combination of colors and circular signs positioning, and feature extraction, the last with template matching methods to achieve recognition, included pictures and a description of the procedures for beginners)

自己编的基于小波变换的图像融合程序。可进行不同层数小波分解。(developed based on the wavelet transform image fusion procedures. Can be different floors wavelet decomposition.)

说明：  文献 基于灰度-梯度共生矩阵的视网膜血管分割方法(Literature based on the gray- the gradient co-occurrence matrix of the retinal blood vessel segmentation method)