dct1_embed

水平百叶窗显示图片，讲一张图像垂直分成若干份，bitblt一行一行的显示(The level of blinds show pictures, talk about an image vertically divided into several copies, bitblt display line by line)

a.牌照定位，定位图片中的牌照位置； b.牌照字符分割，把牌照中的字符分割出来； c.牌照字符识别，把分割好的字符进行识别，最终组成牌照号码。 (a. License Plate Location, location location of the picture of the license b. Character Segmentation license to license the characters split up c. license character recognition, to split a good character to identify the final composition of license number. )

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.)

说明：  modis一般是hdf数据，使用MRT（MODIS Reprojection Tool）工具可以将数据装换为.tif格式以及提取拼接(Modis is commonly HDF data, and the data can be reprojected to the.tif format and outprojection using the MRT (modis Reprojection Tool))

关于在图形图像处理过程中纹理特征提取方法的介绍(About in the process of image processing texture feature extraction method is introduced)

vc++编写的鼠标键盘消息的拦截程序，运用钩子实现(vc++ prepared to intercept mouse messages keyboard procedures, the use of hook realize)

只能信息树立的相关课件和Matlab源代码，对于学习只能信息处理的学员很有帮助。(Information can only be set by the relevant courseware and Matlab source code, for students to study information processing can only be helpful.)

opencv深度学习例程，第五版，中文翻译，运用c++语言，内含有例程，以及源码以供学习(opencv tutorial with c++)

说明：  对于X光骨骼增强，利用拉普拉斯变换，灰度变换，高频滤波对其增强(For X-ray bone enhancement, Laplace transform, gray transform and high frequency filter are used to enhance it)

采用beamlet变换方法，实现图像线特征提取，以此代码为基础的文章已被核心期刊录用(Beamlet transform methods used to achieve the image line feature extraction, this code is based on the core of the article has been hired Journals)