搜索资源列表
opengl_mfc_base
- mfc OpenGL 模板 老外写的很有用 减少大量重复劳动 -mfc OpenGL template foreigner was very useful to reduce the substantial duplication of work
2223222
- 我们给出一个模板 和一幅图象 。不难发现原图中左边暗,右边亮,中间存在着一条明显的边界。进行模板操作后的结果如下: 。 可以看出,第3、4列比其他列的灰度值高很多,人眼观察时,就能发现一条很明显的亮边,其它区域都很暗,这样就起到了边沿检测的作用。 为什么会这样呢?仔细看看那个模板就明白了,它的意思是将右邻点的灰度值减左邻点的灰度值作为该点的灰度值。在灰度相近的区域内,这么做的结果使得该点的灰度值接近于0;而在边界附近,灰度值有明显的跳变,这么做的结果使得该点的灰度值很大,这样
OpenGLTempl
- VC++Opengl个工程模板,有简单的例子-VC + + Opengl engineering template, a simple example
09220904341
- 提供可以描画各种图案线的DLL,描画效率可以与GDIPlus画相同宽度线的函数比美!如可以画铁路线,国境线等等,只要你能提供线图案的模板,该DLL就能高效描画-provide pictorial portrayed various lines of DLL, efficiency can be portrayed GDIPlus painting with the same line width rivaling the function! As can be painted rail line
3DPic
- 3D图象,VS2005下编译通过 VC++图象处理类源代码 需要MFC, OpenGL支持 我过去学openGL时的源代码,请不要笑,它可作为继续加工的模板-3D images under VS2005 compile VC image processing category needs MFC source code, OpenGL support me in the past when learning openGL the source code, please do not
media_filter
- 利用3*3模板对图像进行中值滤波的matlab程序-using 3 * 3 template on the image of the median filtering procedures Matlab
template_enhance
- 利用模板对图像进行增强,主要用于对道路的增强处理,所用模板是适应予道路增强的,当然可以自己根据自己需要进行修改-use templates to enhance the images, mainly for the increase of road, template is used to meet the increasing road course according to their own need for amendment
LanePursue
- 利用模板进行道路追踪,并通过最小二乘法对模板追踪的图像进行曲线拟合。计算出曲线方程用于实现道路的识别-use template for road tracking, and through least squares method to trace the template image curve fitting. Calculated curve equation for the path of achieving recognition
chepaipanbie
- 对于车牌灰度图像进行滤波去噪后先用峰谷法二值化,再用垂直投影 法进行分割,最后进行模板匹配,并用弧向判定法匹配对几组易出错的字符进行检查,从而得到车牌号。-for registration gray image filter after the first two with peak values of France, reuse vertical projection method for segmentation, the last template matching used to d
Face3DModel
- 利用opencv实现的快速模板匹配算法 Fast Template Matching Algorithm,提供Demo图像-use opencv achieve rapid template matching algorithm Fast Template Match ing Algorithm for Image Demo
OpenGLtemplatewizzard
- 一个MFC建立的使用OpenGL的模板,可以在VC6中建立以此项目为基础的项目生成向导,在此基础上方便地使用OpenGL,免去配置OpenGL库的麻烦-an MFC to establish the use OpenGL template, VC6 can build this project-based projects generated guides, Based on this convenient to use OpenGL, OpenGL configuration removed
DSPLIT
- 对手写数字进行分类并识别 应用模板匹配算法进行分类。 应用Bayes算法进行分类。 应用线性函数算法进行分类。 线性算法进行分类。 应用神经网络算法进行分类。-right handwritten figures for the identification and classification of application template matching algorithm for classification. Application of Bayesian class
6.0MFC_OPENGL_moban
- MFC的opengl模版(vc6.0),有了这个模版,你可以知道怎样在mfc下设置opengl环境,可以在上面方便地进行再次开发-MFC opengl template (vc6.0), the existence of such templates, You may know how to set up under the mfc opengl environment that can facilitate the above again for Development
TemplateTranslation
- VC数字图像处理典型算法源码第六章,Visual C++编写,主要是图像的模板变换-VC digital image processing algorithms typical source of Chapter VI, Visual C, is the template image transformation
20052151141307
- 图象的检测,模板匹配算法代码,VC++程序-image detection, template matching algorithm code, VC Program
expressionsb
- 基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化,然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图,最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-based on elastic template matching Facial Expression identification procedures. First of all expressions against static image looked gray image
zifushibie
- 包括: 手写数字识别之Fisher线性判别 手写数字识别之模板匹配法 数字识别之神经网络法 细化算法-include : Handwritten identification Fisher Linear Discriminant handwritten digital identification template matching identification number of neural network method in Algorithm
121212
- In this code,I use VC to complete a Image examination, template match algorithm.-In this code, I use to complete a VC Image examination, template match algorithm.
DynSplitNum
- 数字识别源代码,能识别识别手写的数字.其中包括模板匹配等算法.-numeral recognition source code, the ability to recognize handwriting recognition figures. Including template matching algorithm.
Direc
- 用VC编写的一个图像处理的程序:它可以实现阈值分割、投影检测、差影检测和模板匹配。-VC prepared by an image processing procedures : it can achieve threshold segmentation, the projector detection, poor video detection and template matching.