本程序是一个最佳阈值分割算法,可对灰度图像进行分分割.

图像处理中有关反色的处理代码，用VC++编写成，简单易懂。-Image processing in the handling of the anti-color code, using VC++ to prepare into a simple easy to understand.

用opengl实现的图像处理程序，想做opengl平台下图像处理的，很值得学习。-Opengl achieved using image processing procedures, want opengl platform image processing, it is worth learning.

仿真获取四幅互差半个像素的低分辨率图像，利用反演解析算法重建出一副高分辨率图像，属于亚像元技术或者超分辨率技术。-Simulation Interoperability poor access to four half-pixel low-resolution images, the use of inversion algorithm for the reconstruction of an analytic high-resolution images, belong to sub-pixel super-resolution technology or technology.

用photoshop制作的香烟制作的详细步骤-Photoshop cigarettes produced by the production of the detailed steps

Visual c++ MATLAB图像处理与识别 书盘源码上传0000000004－－第4章-Visual c MATLAB image processing and recognition site source book Upload 0000000004-- Chapter 4

SART代数迭代算法，CT系统中经典算法-SART

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-Procedure Code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from PCB image delete all current lines, retaining only the target chip

虹膜识别算法，包括定位，归一化，编码。很有用的算法。-iris recognition algorithms, including positioning, in the final one, coding. Useful algorithms.

本程序在对图像进行纹理分析（由于共发矩阵的方法效果很不好，本程序采用基于频率域的纹理分析算法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (due to a total of hair matrix, the effect is very bad, the program uses a frequency domain based on the texture analysis algorithm), on the basis of access to different regions of the image texture features, these texture characteristics, using clustering (K-mean) the right image classification algorithm for a regional breakdown!

火焰烟云等不规则物体的建模方法研究。本文章可以帮助游戏开发者准确认识不规则物体建模的基本要领，提高建模速度-flame irregular objects, such as plume modeling method. This article can help game developers an accurate understanding of the irregular object modeling basic essentials, improve speed Modeling