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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.)

SART图像重建代码 基于C++ 主要用于CT等射线处理(code of image and with a wide application of CT, x-RAY , ETC)

灰度图像直方图的计算，超级好用的啊，可以通过它获得图像的分形维数等等，内存小，功能大(Gray image histogram calculation, super nice ah, you can get through it the fractal dimension of the image, and so on, the memory is small, functional large)

图像的纹理分析应用实例,做图像处理的同志们可以参考一下哟(image texture analysis application examples and do image processing comrades can make reference to yo)

车牌矫正,对于一写不够标准的车牌进行矫正，让车牌更容易被分割(Plate correction, not enough for a standard license plate write to correct, so more likely to be split plate)

下载后自己看吧,就是一个角点检测代码。 基于c++ 64位 需要加载opencv3以上的版本(Download your own look, it is a corner detection code. Based on c++ 64 You need to load more than opencv3 version)

3D 点云建筑物分割代码3D 点云建筑物分割代码3D 点云建筑物分割代码(3D point cloud, buildign segmentation3D point cloud, buildign segmentation3D point cloud, buildign segmentation)

数学形态学去噪 有效地还原了原始信号 去除了振动噪声和基线漂移(signal denoising )

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.)

一个十分有用的SSIM图像评测程序，基于结构的客观评测。(A very useful measure SSIM image procedures, based on the structure of an objective evaluation.)