资源列表
OpenGlsuperbible-cd
- 这是opengl super bible第三版的cd我把一些工具删掉了，还有macos的部分删掉了，不然内容太多了，不能上传。-opengl super This is the third edition of the bible cd I have deleted some of the tools, macos have deleted the part, not too much, not uploads.
fillcharacter
- 对边缘提取的空心文字进行填充，特别适用于带内外轮廓的文字填充。-right edge of the hollow text extraction for filling, in particular with the letter and outside contour filling.
TextLocation
- 可以进行文字定位识别的VC源码,用来在数字相片中确认文字,标志等内容的位置,并进行OCR识别-positioning can be written to the VC-source identification, used in digital photographs recognized text, signs such as the location, and OCR
ZHG-bmp-maker
- 本软件(ZHG制图工具)由ZHG用C/C++开发，可用来进行简单画图、查看由本软件制作的图形文件以及使用配套函数show_bmp在C语言程序中直接使用已画好的图形。具体操作如下： 1.主界面上方为菜单栏，左边为工具栏。要使用请单击“新建”或“打开”按钮，退出可单击右上角椭圆。 2.进入后，可单击工具栏选择画笔、规则图形及颜色。左击图形库，画实线图，右击可画虚线图。在编辑区中，用左键拖动鼠标为画笔画图，右键拖动可画规则图形。（建议下载到D盘，并先阅读说明文件。） -the software
50579380
- opengl sample used for making a triangle mesh of sphere-opengl sample used for making me a triangle sh sphere of
200609271917135740
- 圆/椭圆圆弧生成的中点算法C++源代码,实验模拟的-round / oval arc midpoint algorithm generated C source code, the simulation experiments
fsals-svm
- 文章在IEEE上发表，一种崭新的支持矢量机SVM源码-article published in IEEE, a new support vector machine SVM FOSS
SVGMapDemo
- 德国的一个svg地图--社会模式与结构分析-Germany a svg map -- social model and structure analysis
mapXtremejava471Examples
- MapXtreme for java 471 例程,有意者:sylincun@hotmail.com 联系-MapXtreme for java 471 routines, interested persons : Contact sylincun@hotmail.com
Wavelet_Compression_bior37
- 利用小波分解与重构,实现图像压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.
denoise+compression
- 利用小波分解与重构,实现图像去噪和压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, Image Denoising and Compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.
enhancement+fusing
- 利用小波分解与重构,实现图像增强和融合,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image enhancement and integration, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.