搜索资源列表
Walsh-----Hough-
- 上载的程序实现了图像的Hough变换和Walsh变换。包含有源代码，测试图像。大家可以下载看看。肯定有用。-the procedures contained on the images Hough transform and Walsh transform. Active contain code, test images. We can look at the downloaded. Certainly useful.
OTSU
- 基于opencv2.3的大津法自适应阈值二值化算法的代码C++。含测试图片，已编译。很好用，代码一目了然，易懂。-Based on the opencv2.3 OTSU method adaptive threshold binarization algorithm C++ code. Including test images, compiled. Very good, the code be clear at a glance, to understand.
opencvimageprocess
- 这是自己编写的基于opencv的图像及视频处理的一个小测试程序，麻雀虽小，但是初步了解怎样利用opencv进行图像以及视频处理已经足够了，另外其中含有在控件显示图像的代码。-This is based on the preparation of their own images and video opencv deal with a small test procedure, the sparrow may be small, but preliminary opencv know how t
regionbased_seg_demo
- 基于chan-vese的一个水平集分割的matlab程序，在matlab7.1环境下测试有效-Chan-vese based on a level set segmentation matlab procedures, test environment at matlab7.1 effective
word
- 基于小波分析的数字水印算法研究摘要本文通过对数字水印算法的研究和讨论，实现了基于空间域及变换域的数字水印算法，并进行了相应的鲁棒性测试。论文首先介绍了数字水印的基本特征、原理以及目前国内外的研究现状等基本问题，给出了数字水印的理论模型，并根据数字水印的不同特性进行了分类，为水印算法的提出、实现及测试提供了理论依据-Wavelet-based Digital Watermarking Algorithm Abstract Digital Watermarking Algorithm Based o
vnbpsnr
- 自动同时调整高斯噪声和模糊度 并生成参数与psnr对比关系三维图的程序-Program vnbpsnr is as same as program cpsnr basically but sig1 and sig 2 will be changed at the same time. I1 means original image. We just need to input the original image. The sig1(sig noise) will be test from 0.
calledClanguagefunction
- M文件中调用C语言函数.此功能最能有效的调试循环,常将断点设置在循环体内,重复的按F5全速执行循环体可以测试循环过程中的产生的变化. -M file called C language function. This feature is most effective debugging cycle would often set a breakpoint in the loop body, repetitive body of press F5 to test loop at full spee
2222
- 基于检索内容方面的，从别人那考过来的，大家看看吧-Content-based retrieval, and that test came from others, and we look at it
refpaper3_mpcrenglish
- In this paper a stroke feature distribution method is used to develop a scheme for the recognition of alphanumeric characters. The algorithm uses a gray level image of the character as input. The image is normalised. The feature used is strok
paq8n
- PAQ - console archiver with open source developers who jointly have risen in the first place ratings of many test data compression (although at the cost of CPU time and memory).
DetectionofDriverFatigue9
- 由于睡眠剥夺而引起的疲劳检测一篇文章，大家可以看一看。-As the sleep deprivation caused by fatigue test article, we can look at.
111
- 差影法的源程序。要注意的是，第一幅图的文件名为c:\test.bmp，第二幅图的文件名是c:\backgnd.bmp。它们有着相同的灰度值和调色板。执行时，这两个文件都已经准备好。我们针对的虽然是二值图，但为了处理的方便，用的是256级灰度图，不过只用到了0和255两种灰度级。-Subtraction of the source program. Note that, the first picture file named C : \ test.bmp, second picture file
dibapi
- 腐蚀运算和膨胀运算互为对偶的，用公式表示为(X B)c=(Xc B)，即X 被B腐蚀后的补集等于X的补集被B膨胀。这句话可以形象的理解为：河岸的补集为河面，河岸的腐蚀等价于河面的膨胀。你可以自己举个例子来验证一下这个关系。在有些情况下，这个对偶关系是非常有用的。例如：某个图象处理系统用硬件实现了腐蚀运算，那么不必再另搞一套膨胀的硬件，直接利用该对偶就可以实现了。-Subtraction of the source program. Note that, the first picture fil
MainFrm
- 腐蚀运算和膨胀运算互为对偶的，用公式表示为(X B)c=(Xc B)，即X 被B腐蚀后的补集等于X的补集被B膨胀。这句话可以形象的理解为：河岸的补集为河面，河岸的腐蚀等价于河面的膨胀。你可以自己举个例子来验证一下这个关系。在有些情况下，这个对偶关系是非常有用的。例如：某个图象处理系统用硬件实现了腐蚀运算，那么不必再另搞一套膨胀的硬件，直接利用该对偶就可以实现了。-Subtraction of the source program. Note that, the first picture fil
harris-test
- 用opencv和matlab同时实现的harris角点检测算法，自己写的，已通过测试，效果良好-Harris corner detection algorithm implemented at the same time using opencv and matlab, wrote it myself, has been tested to good effect
Discriminativemodelsformulticlasobject
- Many state-of-the-art approaches for object recognition reduce the problem to a 0-1 classifi cation task. Such re- ductions allow one to leverage sophisticated classifi ers for learning. These models are typically trained independentl
Lab7.7-Dm642_Image-Sharp
- 闻婷实验板的图像锐化实验，把摄像头捕捉的图像，经过锐化，在显示屏底部进行显示，顶部显示采集的原始图像-Wen-ting the Image Sharpening experiments of the test board, the camera captures the image, sharpening the bottom of the screen display, displayed at the top of acquisition of the original image
Semantic-Segmentation
- CVPR2012_oral Weakly Supervised Structured Output Learning for Semantic Segmentation-We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in t
test
- 图像去模糊去噪示例两个，有兴趣的同学可以看一看-The the the image deblurring denoising example two interested students can take a look at the
AT
- Anorld 变换，用于图像加密：像素置乱，能通过测试。-Anorld transform for image encryption: pixel scrambling, can pass the test.