资源列表
plam
- 基于掌纹识别的在线身份验证 识别算法本科毕设 采集本科毕设 供毕设参考-based biometric authentication of online undergraduate recognition algorithm based Bi Bi-based undergraduate collection for BI-based reference
myDCT
- AppWizard has created this DCT application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application.-+5.0 DCT has created this application for y
gvfc
- active contour model算法的C源代码,是图形图像工作者的好东东。-active contour model algorithm in C source code, graphic images workers is a good Dongdong.
svm_monqp
- svm支持向量机的monqp核心算法,经过调试运行,效率高。-svm SVM monqp core algorithms, commissioning, operation and higher efficiency.
optical_flow_demo
- optical flow 的一种算法, 使用OPENCV开发, 已经测试, 可以工作.-an optical flow algorithm, OPENCV development, testing, can work.
svmmonqp22
- svm支持向量机的monqp核心算法,经过调试运行,效率高。-svm SVM monqp core algorithms, commissioning, operation and higher efficiency.
Detecting_faces
- 这是一篇经典的图像边缘提取的文献综述,搞图像处理的应该知道它的价值。-This is a classic Image Edge Extraction of Literature Review and engage in image processing should know its value.
TypeRec
- 介绍了车牌定位的前期图像处理并用种子填充和哈夫变换的算法抓取车牌-positioning of the plates pre image processing and filled with seeds and Hough transform algorithm crawls plates
Recognition358
- 程序包括:索书号文字图像分割;粘连字符切分;文字识别;彩色车牌分割;商标文字分割;文字识别的识别子函数;文字识别的结构特征提取子函数。 -include : Call text image segmentation; Adhesion character segmentation; Character Recognition; Color plates segmentation; Trademark text segmentation; Character Recognition Recog
ip4
- 此专栏的系列文章之四,详细讲诉了图像识别中的“霍夫变化”(Hough Transform)算法,该算法可以提取出图像中的直线、圆、矩形等图形,在图像识别中是一种较重要的算法。-column of this series of articles 4, the detail v. Image Recognition "Hough change" (Hough Transform) algorithm, the algorithm can extract images of str
Imagetextureanalysis
- 提供基于VC开发环境的图像纹理分析,有利于程序员继续开发工作.-VC-based development environment image texture analysis, to help programmers work.
Classified_algorithm_of_image_pattern_identificati
- 提供VC下图像识别的分类算法,帮助初学者更好地进行图像识别学习.-provide VC Image Recognition under the classification algorithm, to help beginners to learn for image recognition.
