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介绍四叉树基于视点LOD算法简化地形的图形编程资料，很有实用性，还带有其它效果的算法(Introduced Quadtree LOD algorithm based on the simplified view of the graphical programming information terrain is very practical, but also with other effects of the algorithm)

漂亮的图标程序源代码(beautiful icon source code)

里面包括24位真彩色图像类和其基础处理的类，包括灰度化，二值化和形态学操作(Includes 24-bit true color image processing based on class and class, including the gray-scale and binary morphological operations and)

Doris整个工程文件，包括利用Doris进行影像配准，干涉图生成，DEM生成，是对SAR影像干涉处理的绝佳代码(Doris whole project documents, including the use of Doris for image registration, interferogram generation, DEM generation, is an excellent SAR image processing code for intervention)

鱼眼图像校正并将校正后的图像转换成鸟瞰图，即俯视图，纯C代码，没有调用其它库(fish eye image correction,then change it to bird s eye view)

说明：  <<数值模拟方法和运动界面追踪>> -刘儒勋 运动界面追踪的经典之作! ( numerical simulation and free surface tracking - Ru-xun liu a classic book!)

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)

序列匹配c++实现，可以帮助理解序列匹配算法(Sequence matching c++ implementation can help to understand the sequence matching algorithm)

本解码器类支持普通jpeg文件格式，这也是目前大多数jpeg文件所采用的格式，此格式主要特点是数据精度为8位，采用Huffman编码的普通DCT帧（不支持扩展串行和递进模式及数学编码）。本解码器类的 IDCT算法采用三种模式，分别是浮点解码、定点整数解码和定点整数MMX优化解码，您可根据具体情况选择。(The decoder class support common JPEG file format, which is currently the most JPEG files in the format and the main characteristics of this format is data for 8-bit precision, using Huffman coding DCT common frame (does not support extended serial and progressive model and arithmetic coding). The decoder of the IDCT algorithm uses three modes, respectively, floating-point decoding, fixed-point integer decoding and fixed-point integer MMX optimization, you can choose according to the specific circumstances.)

图像缩放,在readme.txt里有详细的使用说明(image zoom, the readme.txt are detailed usage)