DieDai

自适应中值滤波器 该滤波器与中值滤波器相比，功能有很大的改善，但函数要复杂了很多(adapt median filter ,this filter compared with median filter, it is much improved in the resulted image.)

功能介绍：    该系统基本包含一般处理SQL的命令,其中使用了 Linq To Sql技术,强数据类型的DataAdapter,还有通过了一般连接Sql的连接,在必要的时候通过"SQL的存储过程",降低了通过普通方式代码的冗余度.对于动态绑定数据,本人还是只是使用了linq绑定.在校验方面,多是使用正则表达式.在一次性频繁处理数据库的更新操作的时候,偶尔使用多线程,自定义传递参数的类,来给多线程传递参数.该系统适合初学者,希望能给大家帮助...谢谢...菜单功能：     基本信息管理  人事管理 备忘记录 数据库维护 管理工具 系统管理

说明：  利用Em算法进行图像分割的代码，可以运行，代码简短清晰，有利于初学者，希望对你有用(Em algorithm using image segmentation code, you can run, code clear brief will help beginners, in the hope that useful to you)

Retinex算法本质上就是一种基于光照补偿的图像增强算法, 能够对高动态范围图像进行增强。(Retinex algorithm is essentially an image enhancement algorithm based on illumination compensation, which can enhance the image of high dynamic range.)

通过采用反步滑模控制补偿伺服系统中的齿隙影响，提高跟踪精度(By using the backstepping sliding mode control of backlash compensation in servo system, improve the tracking accuracy)

图像德拉尔曼滤波，实现对给定图像的卡尔曼去噪(kalman filter of image)

核聚类算法KFCM源代码，对传统FCM算法的改进(Nuclear clustering algorithm KFCM source code, the traditional FCM Algorithm)

matlab最小二乘法曲面拟合程序可以得到函数具体解析式(Matlab least squares surface fitting program can get the specific analytic expression of the function)

一种用于用于进行图像隐写分析的算法的源代码，主要是基于最低有效位检测这一方面研究的(Used for the image of a steganalysis algorithm source code, mainly detection based on the least significant bit of research in this)

说明：  本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)