搜索资源列表
shuipinjingxiang
- 用C++实现水平镜像的源代码。多支持小弟，需要下载一份资料。-C level mirroring to achieve the source code. More support for the younger, a need to download data.
Corner
- 一种比较好用的边缘检测方法CORNER Find corners in tensity image. ％ CORNER works by the following step: ％ 1. Apply the Canny edge detector to the gray level image and obtain a ％ binary edge-map. ％ 2. Extract the edge contours from the edge-map, fill the ga
水印算法
- 在对原图像进行双正交7／9三级小波分解后 ，在第二级的水平、垂直、对角以及第三级对角分量上加入水印系数，再经过小波反变换重构出图像。-in the original image Biorthogonal 7 / 9 3 wavelet decomposition, in the second-class level, vertical, diagonal, and the third-class right angle to add weight coefficient watermark, a
基于双正交小波分解的水印算法
- In the original image Biorthogonal 7 / 9 3 wavelet decomposition, in the second-class level, vertical, diagonal, and the third-class right angle to add weight coefficient watermark, after wavelet-transform reconstruct images.
ExtractGLCM
- 灰度共生矩阵方法用来提供一幅图像的灰度共生矩阵值，然后送到分类器中进行分类-gray level co-occurrence matrix，a very important method of extracting features
htmlib7_860
- HTM（Hierarchical Temporal Memory）技术是利用模拟大脑来实现识别的一种方法，nupic公司有开源实现，上面的htmlib包是另一种实现，适合VC++开发，容易集成-Hierarchical Temporal Memory: What s In a Name? The name was chosen for a reason: Hierarchical-- HTMs are organized as a tree-shaped hierarchy of
MFC_OpenCV
- 手势识别 从一到九。利用开源库。入门级别-Gesture recognition from one to nine. The use of open source libraries. Entry-level
LevelSet
- VC++实现的GAC水平集， 这样的程序很少见，大部分都是matlab编写的，虽然程序比较简单，但是很有借鉴和参考价值。 有曲线演化的过程-GAC level set VC++ implemented, such programs are rare, and most of them are prepared matlab, although the procedure is relatively simple, but very useful reference and the referen
graylevel
- 实现灰度共生矩阵的建立，并计算其0度135度90度方向的特征，计算矢量矩-Gray-level co-occurrence matrix to achieve the establishment and calculation of its 0 degrees 135 degrees 90 degrees the direction of the characteristics of the vector calculation of moments
The_theory_of_fingerprint_recognizing
- 浅谈指纹识别基本原理，入门级读物，适合初级读者。-On the basic principles of fingerprint identification, entry-level books for primary readers.
Handwrittennumeralrecognition
- 手写数字识别算法，基于置信度分析和多信息融合的手写数字识别。-Handwritten numeral recognition algorithm, based on the confidence level and multi-information fusion analysis of handwritten numeral recognition.
libcvd-20090828.tar
- libCVD is a very portable and high performance C++ library for computer vision, image, and video processing. The emphasis on providing simple and efficient image and video handling and high quality implementations of common low-level image processing
mori-gimpy
- 一篇关于图像扭曲恢复的算法思想,主要用于高级验证码的识别分割部分-A distorted image restoration algorithms on the idea, mainly for high-level segmentation part of the identification code
mCh17
- matlab边界识别，水平边界的识别、水平边界和垂直边界的识别-matlab boundary identification, identification of the level of the border, horizontal boundaries and vertical boundaries of the identification
texturefeature
- 特征提取、 纹理分析、灰度共生矩阵、纹理特征-Feature extraction, texture analysis, gray level co-occurrence matrix, texture features
cal_entropy256
- 可以读取256级灰度图片，并且计算该图片的信息熵，信息论要用到-Can read the 256-level grayscale images, and calculate the image of the information entropy, information theory use
PatternTheoryFromRepresentationtoInference
- 模式理论，从表示到推导。在模式识别中知识的表示通常是一个非常难的问题，这本书详细地描述了如何表达图像中的各个模式，并用得到的模式表达进行模式识别的推导。-This book is to be an accessible book on patterns, their representation, and inference. There are a small number of ideas and techniques that, when mastered, make the subj
cardrecognition
- 车牌定位使用说明 使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。 具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。 初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。 该阈值对不同牌照有一
rewvie
- Face recognition is a rapidly growing research area due to increasing demands for security in commercial and law enforcement applications. This paper provides an up-to-date review of research efforts in face recognition techniques based on two-di
200830500211
- 人眼的识别是计算机人脸识别和智能监控中的重要部分。本文提出了一种基于灰度投影 曲线和边缘检测进行人眼定位的新算法。首先利用原图的垂直灰度投影曲线确定人脸的左右边界, 之 后利用人脸区域的水平灰度投影确定头顶至鼻中部的上下边界, 然后利用人脸比例模型估计人眼的大 概位置, 分析人眼区域的边缘图象, 给出人眼的确切位置。实现表明, 该算法简单、快速, 鲁棒性强-Identification of the human eye is the computer face recognition