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说明：  一篇介绍cs理论的文章，以及与图像处理结合的概述(conpressin sensor)

易语言图像混色汇编版源码，易语言写的图形图象编程，很好的参考。(Easy language image color mixing assembly version of source code, easy to graphics programming language to write, a good reference.)

图像自定义选区取图源码例程程序结合易语言扩展界面支持库和操作系统界面功能支持库，实现图像自定义选区功能。(Custom image taken Figure source selection routine program combining easy language support library expansion interface and operating system interface features support library that implements a custom image selection feature.)

应用到了操作系统界面功能支持库和图像格式转换支持库，在截取窗口位置时调用了API函数，大家做屏幕截图时可以参考下本例程中的代码。(Applied to the operating system interface features support libraries and image format conversion support library , in the interception of the window position API function calls , you can refer to the code in this routine when we do screenshots .)

图像的中值滤波源码例程程序结合易语言数值计算支持库和图像格式转换支持库，调用正态分布图像处理模块实现图像的中值滤波功能。(Image median filtering routine program combined with easy language source numerical support libraries and image format conversion support library , call the normal image processing module median filtering images.)

图片浏览源码例程，程序调用API函数实现图片的浏览。包括浏览文件夹对话框的“SHBrowseForFolderA”，以及配合它使用的从列表ID取路径“SHGetPathFromIDListA”(Picture Viewer source code routines , the program calls API functions for image browsing. )

图像滤镜应用源码例程,程序结合易语言扩展界面支持库，调用API函数实现同图像设备场景的重画。(Image filter application source code routines, programs combined with easy language support library expansion interface , call the API functions to achieve the same imaging equipment redraw the scene .)

鼠标写毛笔字源码例程，程序结合易语言扩展界面支持库和图像格式转换支持库，实现用鼠标写出毛笔字的效果。可以展现多种毛笔字形态，启动时有使用帮助说明。(Mouse calligraphy source routines, programs combined with easy language support library expansion interface and image format conversion support library , use the mouse to write calligraphy achieve results. )

简单水印制作源码,程序结合易语言扩展界面支持库，实现了加载水印效果图和设置水印效果的功能(Simple watermarking source code , the program combined with easy language support library expansion interface , to achieve a load diagram and set watermark watermark function)

approche hybride firefly et k-mens pour la classification des image sat