LS_Unwrape

说明：  一种图像阈值分割算法。能够对图像.sauvola是一种考虑局部均值亮度的图像二值化方法, 以局部均值为基准在根据标准差做些微调.算法实现上一般用积分图方法来实现.这个方法能很好的解决全局阈值方法的短板—关照不均图像二值化不好的问题.(Image threshold segmentation algorithm)

扩展卡尔曼滤波的基础代码，有详细的注释，结合卡尔曼滤波的基本原理，就能很好的理解卡尔曼滤波过程了。(Extended Kalman filter based code , there are detailed notes , combined with the basic principles of Kalman filtering , we can well understand the process of Kalman filtering )

手机壁纸截图小工具源码程序，结合易语言扩展界面支持库，应用易语言图像格式转换支持库，可以截取指定格式的图片，用于手机壁纸。(Phone wallpaper theme gadget source program, combined with easy language support library expansion interface , the application image format conversion easy language support library , can intercept a specified format pictures, wallpaper for mobile phones .)

matlab下实现图像的灰度直方图绘制 以及图像的灰度均衡化处理(Matlab image histogram of the gray scale mapping and image processing gray balance)

一种基于景深的去雾方法，将按通道中的最大值和最小值作为景深基准线，计算其垂直方向上的暗通道像素均值作为透射图，实现去雾，对航拍图效果显著(A dehaze method based on the depth of field, draw a depth datum line according to the maximum value and minimum value of the dark channel, calculate the pixel of the dark channel at the line perpendicular to the depth datum line.Then the transmission map has been gotten. This method performs good especially when processing the aerial map.)

该实例实现了 截图并识别截图中的文字功能 该项目需要在安装 Microsoft Office Document Imaging 下载地址 如下: http://www.xdowns.com/soft/4/25/2009/Soft_50716.html 

基于小波变换的图像融合程序，低频采用加权平均，高频采用能量最大准则。(Based on wavelet transform image fusion program, low-weighted average, using high-frequency energy is the biggest criteria.)

梯度法计算指纹方向场，采用了三种方式：1、滑动块 2、自适应块 3、分割固定块(Gradient method is used to calculate the direction field of fingerprint, and three methods are adopted: 1, sliding block 2, adaptive block 3 and segmentation fixed block)

说明：  交互式支持向量机图像分割程序，通过鼠标选取区域实现前景和背景选取(Interactive support vector machine image segmentation procedures, through the mouse to select regions of foreground and background selection)

提取目标各种特征，图像处理，目标几何特征，纹理特征等(Extract various features, image processing, target geometric features, texture features, etc.)