SAR滤波MATLAB程序

图像处理的基本功能，对象图形法显示，高效实用。(The basic function of image processing, object graphics display, efficient and practical.)

新浪邮箱注册易语言源码，程序结合易语言第三方云外归鸟的图像处理支持库和易语言模块彗星HTTP应用模块.ec，实现新浪邮箱的注册。(Sina mail registration easy language source code , the program combined with easy language to third parties outside the cloud of birds of image processing and easy language support library module Comet HTTP application modules .ec, realize Sina-mail registration .)

介绍混合像元解混里面的端元提取算法N-FINDR(Describes the mixed pixel unmixing inside endmember extraction algorithm N-FINDR)

图像分割方法中有关感兴趣区域处理的程序代码(Image segmentation method for region of interest processing code)

利用混合高斯模型对图像序列经行背景建模，并保存。（附图片）(Using Gaussian mixture model for background modeling image sequences through the line and save. (With pictures) )

耦合发电机系统的自适应控制与同步以及变形耦合发电机系统中的混沌控制(Coupled generator system of adaptive control coupled with the synchronous generator system, as well as deformation of chaos control)

脉冲耦合神经网络进行图像分割的matlab程序，利用PCNN点火捕获的相似性集群特性进行图像分割(Pulse Coupled Neural Net)

利用灰度积分投影直接对人脸图像进行检测和眼睛定位是一种常用的算法,但是直接采用该算法会受到背 景、特征等因素的影响,识别准确率较低。提出了一种基于最大类间方差阈值和区域膨胀相结合的检测与定位算法。该算 法首先计算最大类间方差设置阈值,把灰度图像转换为二值图像并检测出人脸区域,然后通过对该人脸区域中的连通区域 进行膨胀及连通性处理,精确定位眼睛坐标。实验表明,此算法可靠,具有较好的识别效果。(face recognized)

本文针对目前图像特效处理的需求，主要研究几种基本的数字图像处理算法，以达到人们所期待得到的各种不同的效果。并在基于Windows系统的Visual C++6.0集成开发环境下，生成BMP位图文件并对其进行读取，使用VC编码实现这些算法。编写程序在BMP位图文件中画出各种图像，例如：三角型，圆，正弦函数图。在点运算处理中介绍了灰度化处理，算法设计原理是将输入像素点的灰度值通过算法实现改变其相应输出点的灰度值。在图像增强中，介绍了图形的平滑和图像的锐化算法，其算法的设计原理是根据一个固定小区域的几个像素灰度值设置某个像素的灰度值，通常有其固定模板。 本文具体给出了这些算法的设计思想及算法描述，并通过程序实现。最后将其效果图与原始图像进行了比较。 (In this paper, the image effects to deal with the current demand for basic research in several digital image processing algorithms in order to achieve what people expect different result. And Windows-based system, Visual C++6.0 integrated development environment to generate BMP bitmap file and read them using VC coding to implement these algorithms. Write a program to draw a variety of graphics in BMP bitmap file, example: triangle, circle, sine function diagram. Point arithmetic processing grayscale processing, algorithm design principle is the value of the input pixel gray value of the corresponding output point algorithm change. Enhancement of the image on the smooth graphics and image sharpening algorithm. The design principle of the algorithm is based on a fixed number of small regions of a pixel value of gray-scale pixel value, usually a fixed template. In this paper, given the specific design of these algorithms and the algorithm description, and program . Finally, the effect o)

实现一个高精度指针仪表读数自动识别系统．用数码摄像头采集仪表的图像，然后利用数字图像处理技术识别刻度和指针，根据指针和刻度的相对位置计算指针读数值．使用条件霍夫变换（Constrained HOUGH Transfer）和中心投影分析法实现刻度的全自动识别，采用快速中心投影法进行指针检测与识别，识别速度达到68ms．实验结果表明该方法比传统方法速度快、精度高，系统读数平均误差仅为0．016％(To achieve a high precision automatic identification system pointer meter reading. Instrument with a digital camera capture images, then using digital image processing technology to identify scale and pointer, pointer and scale according to the relative position of the pointer readings calculated. Use Hough transform (Constrained HOUGH Transfer) and center projection analysis method to achieve scale automatic identification method using fast center projection target detection and recognition, recognition speed of 68ms. Experimental results show that faster than traditional methods, high accuracy, the system average error of only 0.016 of reading)