-
raw2bmp
读取RAW格式文件,将其转换为BMP格式文件并存储,主要实现灰度图像的转换(Read the RAW format, convert it to BMP format file and stored, mainly to achieve the conversion of grayscale images)
- 2011-11-08 10:36:16下载
- 积分:1
-
GLCM-implement
实现了灰度共生矩阵,并应用到了几张图片上。 C++ 和OPENCV 代码。 图像处理(GLCM achieved and applied to a few pictures. C++ and OPENCV code. Image Processing)
- 2011-01-26 02:35:22下载
- 积分:1
-
Calculate
This is simple calculator program.
I m making a GUI calculator interface in MFC.
this program works pretty well.
- 2011-07-28 15:22:25下载
- 积分:1
-
secret-sharing-ideas
针对图像秘密共享前需要像素置乱的问题,基于(t, n)门限多重秘密共享思想,提出一种免置乱的图像秘密共享方案,以第n+1人的秘密份额作为因子参与秘密分割与重构,加大相邻像素之间的差距(Based on (t, n) threshold multiple secret sharing ideas, and put forward a kind of scrambling image from secret sharing scheme to n+ 1 people share the secret as factors involved in secret segmentation and reconstruction, increase the gap between adjacent pixels)
- 2012-04-10 16:25:00下载
- 积分:1
-
peppernoise-cpp
在图像中加入椒盐噪声的源代码,编译后的可执行文件须带参数运行(the image Salt and Pepper to the noise source, the compiled executable file parameters required to bring Operation)
- 2006-10-13 13:36:45下载
- 积分:1
-
sauvola
图像二值化算法,试用效果还不错,欢迎大家试用(Improved Image and Text Binarization Algorithm)
- 2015-06-08 10:35:07下载
- 积分:1
-
target-tracking
基于meanshift算法的目标跟踪,主要是基于opencv车辆跟踪!!!程序当中进行简单的图像分割(Based on the meanshift algorithm of image segmentation and target tracking.)
- 2013-08-21 10:45:45下载
- 积分:1
-
segment
说明: 图像分割代码,c++实现(Image segmentation code, c++ Achieve)
- 2008-11-05 00:02:19下载
- 积分:1
-
Edge-Detection-Algorithm
图像边缘检测,实现了几种边缘检测算法,像Roberts,Sobel,Prewitt,Canny等(Edge detection, edge detection algorithm to achieve several, such as Roberts, Sobel, Prewitt, Canny, etc.)
- 2021-03-17 08:49:21下载
- 积分:1
-
NumberRecognize
根据RBM深度网络(Hinton,2006)进行MINST手写文字的分类器的训练,利用训练得到的权值制作了这个小程序,通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别,但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)
- 2013-10-17 15:55:34下载
- 积分:1