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PicMatch
本程序实现了对影像特征点自动提取，利用Morevac、Forstner、Harris3个经典算子。在此基础上利用相关系数法实现影像自动匹配，并且引入最小二乘平差，使匹配点精度有所提高。
在搜索点过程中，利用了核线影像特性，对二维影像搜索使用了爬山法启发式搜索。对大数据量影像采用影像金字塔结构处理。
1、使用GDAL库读取影片，支持TIFF、PNG、JPEG、JPG、BMP、GIF、IMG格式读取。使用GDI绘图。
2、防止大数据量绘图视图闪烁，图片显示采用双缓存技术。
3、保存视图数据为图片文件，支持TIFF、PNG、JPEG、JPG、BMP、GIF格式保存。
4、TreeCtrl控件、ListCtrl控件的基本操作。
5、MFC单文档程序视图通讯、更换视图、视图分割。(This program of image features automatic extraction point, use Morevac, Forstner, Harris3 a classic operator. Based on the correlation coefficient method using the image matching, realization and introducing least squares adjustment, the matching point to improve precision.
In the search process, the use of the image characteristics of nuclear line, 2d image search using the heuristic method of climbing. For large quantity of data using image processing image pyramid structure.
1, using film, read GDAL repository support JPEG, TIFF, PNG, GIF, BMP, JPG, read IMG format. Use GDI drawing.
2 and prevent large amount of data, drawing view pictures showed adopt double caching techniques.
3, save for the image file, views data support JPEG, TIFF, JPG, PNG, GIF, BMP format.
4 and TreeCtrl controls, the basic operation ListCtrl controls.
5 and MFC single document procedure view communication, replace view, view.)
- 2010-05-22 00:46:30下载
- 积分：1
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HarrisCorner
对输入的一张彩色图像，自己写代码实现Harris Corner 检测算法：
1. 不能直接调用OpenCV 里面与Harris 角点检测相关的一些函数；
2. 只能用C/C++，不能用其他语言；
3. GUI 只能用自带的HighGUI，不能用QT 或其他的；
4. 平台可以用Windows， Linux, MacOS；
5. 显示中间的处理结果及最终的检测结果，包括最大特征值图，最小特征值图，R 图（可以考虑彩色
展示），原图上叠加检测结果等，并将这些中间结果都输出成图像文件；
6. 命令格式： “xxx.exe 图片文件 k 参数(=0.04) Aperture_size(=3)”。(The input of a color image, write your own code to achieve Harris Corner Detection Algorithm: 1. Can not be called directly inside OpenCV some functions associated with the Harris corner detection 2. To only use C/C++, can not be used in other languages 3. GUI only with their own HighGUI, can not use QT or other 4. The platform can be used Windows, Linux, MacOS 5. Display intermediate and final results of the test results, including the largest eigenvalues diagram, the minimum feature value graph , R chart (you can consider color display), picture superimposed on the test results, etc., and these intermediate results are output as an image file 6. Command Format: " xxx.exe picture file k parameters (= 0.04) Aperture_size (= 3 ). " )
- 2016-01-04 12:44:23下载
- 积分：1
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0451
说明： 《visual C++ 开发经验技术宝典》图像锐化处理，主要是将图像的亮度增加，颜色的鲜艳感增强。("Visual C++ development experience Technical Collection," Image sharpening, mainly to increase the brightness of the image, bright sense of color enhancement.
)
- 2011-02-21 15:16:27下载
- 积分：1
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RGBtoHIS
说明： RGB-IHS变换：图像进行 RGB-HIS 正变换，分别对明度、饱和度、色调进行线性
拉伸显示；然后再进行反变换
(RGB-IHS transformation: the image is RGB-HIS transformation, respectively, lightness, saturation, hue, a linear stretch display then the inverse transform)
- 2021-04-11 18:48:57下载
- 积分：1
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Coltransfer
一个vc编的图像处理的程序，处理不同颜色图像(a series of image processing procedures for handling images in different colors)
- 2007-04-01 07:34:09下载
- 积分：1
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tuxianzhuanzi
利用c++实现图像转置源代码，像素变换的一种方式(use Image home to the source code, pixel transform the way)
- 2006-06-11 17:09:19下载
- 积分：1
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chapter12
图像处理中的数字识别代码，包括数字训练集合和训练分类算法，可以实际应用。(digital recognition)
- 2015-10-11 21:25:41下载
- 积分：1
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Image-translation
实现图像的平移 可实现左移 右移 并根据需要改变参数(Image translation)
- 2012-05-21 17:09:08下载
- 积分：1
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quanjingtupinheyuchuli
一种有效的全景图拼合预处理算法.适用于图像的拼接。是论文！(An effective pre-processing algorithm together panorama. Splicing applied to images. Is a thesis!)
- 2008-04-15 16:42:03下载
- 积分：1
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m11
混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving
object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of
RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed
uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system.
These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid-
based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis
to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed.
Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels
but also have a better robustness.)
- 2014-04-15 11:11:55下载
- 积分：1
