资源列表
tuxiangfenxi
- 图像分析 章毓晋2008年版图像工程系列书籍（中册）详解课件。-ZHANG Yu-jin image analysis in 2008 the book version of Image Engineering Series (in volumes) Detailed courseware.
Elgna
- 本人念书期间自己用VC做的图像处理程序，里面模块相当的全部很适合初学VC编程与图像处理的学生，希望大家共同学习哈-During my study using VC to do their own image processing procedures, which all modules are suitable for very novice VC programming and image processing of the students, I hope everyone ha stud
LU
- LU分解课件，用来求解逆矩阵。一般用在图像处理及机器视觉等方面-Courseware LU decomposition to solve the inverse matrix. Generally used in image processing and machine vision, etc.
siftDemoVC
- 基于opencv的图像匹配算法，经典的sift理论，可方便开发-opencv
histo2D
- 计算2D直方图的函数代码和1D直方图均衡化的文章 内容中有代码-2D histogram calculation code and the function of 1D histogram equalization of the article content has code
crosscorrelation
- 基于最大互相关的图像匹配，是本人的毕业设计，希望对大家有帮助。-The largest cross-correlation-based image matching, is my graduation project, I hope there is help for everyone.
eyedemo
- 虹膜定位的目的在于根据给定的人眼图像，定位出虹膜区域。-The purpose of positioning the iris according to a given image of the human eye, positioning the region of the iris.
CurveLab-2.1.2
- 小波库函数： Basictransformfunctions. fdct_xxx.m Cforwardcurvelettransform ifdct_xxx.m Cinversecurvelettransform afdct_xxx.m Cadjointcurvelettransform(onlyforUSFFT-basedtransformsincefo thewrappingtransform,theadjointisthesameastheinversetransform). fd
cannythreshold
- 其基本思想是：首先，用微分算子检测图象的边缘；然后，在这些边缘象素点上进行二值化阈值的自动选择；最后，对于其它非边缘象素点则采取常规方法进行二值化处理。实验结果表明，这个基于边缘特征检测算子的算法能很好地保留原图的边缘特征，并能处理低质量的图象-The basic idea is: First of all, the differential operator with the edge detection image And, at these points on the edge pixe
facedetect_harrcascade
- 基于adaboost的构造的cascade用于快速检测人脸，能够实时检测视频中的人脸。没有采用opencv的代码。-Adaboost based on the structure of the cascade for the rapid detection of human faces, real-time video can face. Did not use the code opencv.
daima
- 打开功能，及处理图像的锐化、柔化、浮雕等效果-Open function, and deal with image sharpening, blur, the effect of relief, etc.
steganography_in_jpeg
- data hasnt been embedded in dc coeffs,therefore results in a better histographic response.unlike methods like jsteg where quantized coeffs wid value 1 are not altered because they can be made equal to zero,here they can acquire a value of -1,instead.