资源列表
VCADImprovement
- 模仿AutoCad的绘图软件,vc++下实现,学习绘图的朋友可以借鉴一下-imitate AutoCad mapping software vc under study Mapping friends can learn from this
vc++laplacetransformation
- 常用图象处理算法——拉普拉斯高斯边缘检测 直接粘贴到vc即可-commonly used image processing algorithm -- Laplace Gaussian edge detection directly to the paste can vc
vc++Gray
- 常用图象处理算法——灰度均衡 直接粘贴到vc即可-commonly used image processing algorithm -- gray balance directly to the paste can vc
VC++huidulashen
- 常用图象处理算法——灰度拉伸. 直接粘贴到vc即可-commonly used image processing algorithm -- Gray tension. Vc directly to the paste can be
VChuidulashen
- 常用图象处理算法——灰度拉伸. 直接粘贴到vc即可-commonly used image processing algorithm -- Gray tension. Vc directly to the paste can be
vcVenus
- 常用图象处理算法——维纳滤波处理. 直接粘贴到vc即可-commonly used image processing algorithm -- Wiener filter. Vc directly to the paste can be
2dDelaunay2NewLinc
- 这是一个根据顶点进行三角剖分的vc程序,有做相关方面研究的朋友可以参考一下-under the apex Triangulation vc procedures, doing research in the relevant friends reference
fuzzy_control_sunshuai03_uploadto_cpubbs
- 这是我从别处下来的《倒立摆控制程序》，解压后是一个.VI程序，因为不知道VI是什么，在网上查了一下，“需要的软件CorelDraw或者Adobe Illustrator或者Photoshop ”，但还是没搞懂到底用的什么环境，所以先选了一个，要是谁搞懂了请告诉我吧-This is my monies come from somewhere down the "inverted pendulum control procedures", is an unpacked. VI p
HoughTransformation
- 常用图象处理算法——Hough变换 直接粘贴到vc即可-commonly used image processing algorithm -- Hough transform directly to the paste can vc
carrecognisation
- 论文：一种复杂背景下的多车牌图像分割与识别方法 关键词：车牌识别，背景提取，图像分割，特征提取，字符识别-thesis : a complex background of the license plate number of image segmentation and identification Keywords : LPR, background extraction, Image segmentation, feature extraction, Character Recogni
VisualCOpenGL
- 《Visual C++ OpenGL应用程序开发》配套光盘。在这个网站上找了一些opengl的代码，良莠不齐，希望我找的这个能够对大家有些帮助-"Visual C OpenGL application development" complementary CD. On the web site to find some opengl code mixed and hope I find this to tell you some help
facedist
- 基于神经网络的人脸识别，效果很不错。 Neural Network-Based Face Detection-based on neural networks face recognition, the effect is pretty good. Neural Network-Based Face Detection