imseg

O(n*logn)时间内的求逆序的算法控制台程序，算法实现效率较高。可迅速求出随即生成的数字的逆序数(O (n* logn) time algorithm for reverse console process, algorithm more efficient. Can be generated quickly obtained immediately reverse digit number)

词袋模型，非常好的参考，有详细说明，希望顺利使用。(The bag of words model, a very good reference, there are detailed instructions, hope to use smoothly.)

运用图像处理，运用滤波，闭运算，腐蚀，膨胀进行一维码即条形码的识别(The use of image processing, the use of filtering, closed computing, corrosion, expansion of one-dimensional code, that is, bar code identification)

说明：  使用说明： 全网唯一的一款能够快速完全浏览+整理微信图片视频的软件! 智能的发现微信聊天中的显示过的图片、视频，并将它们汇总在一起，方便您随时浏览。 您可以将您亲人的照片、工作中的重要图片、搞笑的视频等资源，整理收藏起来。 提供图片、视频的备份功能，收藏就是备份到手机的存储卡上。(Instructions: The only software on the whole network that can browse and organize the pictures and videos of Wechat quickly and completely! Intelligent discovery of pictures and videos displayed in the micro-chat, and aggregate them together to facilitate your browsing at any time. You can organize and collect photos of your relatives, important pictures at work, funny videos and other resources. Provide the backup function of pictures and videos, and the collection is backed up to the memory card of the mobile phone.)

基于matlab实现对 图像的亮度提取 以及对其亮度均匀性进行评估！(Matlab-based implementation of image brightness, as well as its extraction to assess the uniformity of brightness!)

jpeglib的库文件，方便实现很多关于jpeg的操作，例如格式转换等等。(jpeglib the library file to facilitate the achievement of the operation of a number of jpeg, for example, format conversion and so on.)

Cox 论文、程序matlab代码，仿真结果以及读书笔记，有助于学习(Cox papers, procedures matlab code, simulation results, as well as study notes, contribute to learning)

一个类似ACDSee的看图工具，可以察看很多种格式的图形文件。由ISee开发组提供(ACDSee pictures of a similar tool, you can see a variety of graphics file formats. ISee provided by the development team)

说明：  基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)

说明：  实现直方图规定化的函数和直方图均衡化的函数(Histogram specification to achieve the function and the histogram equalization function)