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Hyperspectralterrain-classfic
高光谱图像的地物分类技术，对光谱分析并对比检测出地景的算法(Fifth hyperspectral image classification techniques, algorithms for spectral analysis and contrast detect landscapes)
- 2013-11-29 11:06:20下载
- 积分：1
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RectDetector
矩形检测：用霍夫直线检测方法来对图像中的矩形进行检测。开发环境：vc6，需要安装OpenCV。OpenCV只是用来读取和显示图像等简单操作。(Rectangle detection: Hough line detection method using the image of the rectangle to test. Development Environment: vc6, need to install OpenCV. OpenCV is used to read and display images such as simple operation.)
- 2010-08-08 13:06:08下载
- 积分：1
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chap1_3
一本运用Visual C++ 的 数字图像处理的书里的源代码。非常好，初学者，很快可以上手.范例 3(Visual C++ for The digital image processing)
- 2009-11-04 11:07:22下载
- 积分：1
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VCPP-image-processing-chapter09
VisualC++数字图像处理技术详解第2版-光盘 第九章(VisualC++ digital image processing technology Detailed Version 2- CD Chapter IX)
- 2016-04-16 13:59:03下载
- 积分：1
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HistogramaOTSU
说明： 分块直方图均衡化处理图像 用户输入分块的x,y方向的分块个数，即可将图形分成各个小块进行直方图均衡化。
大津法处理图形，包括一维大津法和二维大津法的实现
(the realization of the Histogram equalization algorithm.
the realization of otsu algorithm to process the images)
- 2011-04-17 21:52:58下载
- 积分：1
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SURF
基于SUFT的特征提取与匹配，内涵详细的文档说明，很好的实现了特征提取与匹配，该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)
- 2013-10-04 11:10:04下载
- 积分：1
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DetectionofTonguesCrackBasedonAdaptiveThreshold
摘 要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不
适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并,
对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的
舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。(Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2
ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2
pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3
b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle
of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to
different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s crack.)
- 2020-08-27 19:58:13下载
- 积分：1
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live-wire_contour_version_matlab
自己写的matlab版的live-wire算法，效率有点低，不过可用(Written in Matlab version, the live-wire algorithm, a bit low, but available)
- 2012-04-24 09:10:27下载
- 积分：1
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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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demo
源码包括了常用的图像处理方法，代码详细，适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)
- 2013-07-12 21:31:55下载
- 积分：1
