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04457757
超分辨率重构，介绍超分辨率重构最大后验概率算法。(Super-resolution reconstruction, introduced the super-resolution reconstruction of maximum a posteriori probability algorithm.)
- 2011-10-19 09:52:06下载
- 积分：1
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Canny
说明： 用canny算子来检测图像边缘，VC++(Using canny operator to detect image edge)
- 2010-03-28 14:43:47下载
- 积分：1
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las_tools
一个非常实用的las文件处理工具，可以实现很多功能，如读写las文件，分类，分块，抽稀，合并，生成边界线，生成DEM，点云高度归一化，数据格式转换，波形数据压缩等(A very useful the las file processing tools, you can achieve a lot of features, such as read and write las file classification block Rarefy merge to generate the boundary line, generated DEM point cloud height normalized data format conversion, waveform data compression, etc.)
- 2021-01-24 20:58:38下载
- 积分：1
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Edge-detection
数字图像处理边缘检测算法VC源码，里面包括多种检测算子(Digital image processing edge detection algorithm VC source code,Which includes a variety of detection operator
)
- 2012-04-07 22:46:03下载
- 积分：1
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the-Algorithm-of-fire-detection
推荐火灾检测的参考文献，有火焰多个特征提取的算法。(the article is about how to detect fire，using many algorithms to get the features of fire.)
- 2013-03-26 15:01:04下载
- 积分：1
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Meanshift
利用Mean-shift进行平滑处理，主要是对图像进行平滑的界面，MFC和OpenCV进行混合编程……(Mean-shift smoothing, image smooth interface, the MFC and OpenCV mixed programming ...)
- 2012-03-26 10:08:52下载
- 积分：1
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MarkerWatershed
标记分水岭比较了开闭和基于重构的开闭的效果及分割染色后的效果图... 标记分水岭分割算法(Mark a watershed in comparing the opening and closing and effect diagram based on the effect of opening and closing and split reconstructed stained ... marked watershed segmentation algorithm)
- 2013-03-05 00:01:46下载
- 积分：1
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RobotVision
著名专家写的计算机视觉方面的原著，希望对大家有所帮助(Writing a well-known experts in the computer vision aspects of the original, and they hope to help everyone)
- 2009-03-17 13:00:32下载
- 积分：1
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calication
摄像标定法求T R矩阵的方法
摄像标定法求T R矩阵的方法
摄像标定法求T R矩阵的方法(how to calculate the matrix R and T using the Camera Calibration method)
- 2011-06-27 16:58:09下载
- 积分：1
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two
：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提
出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper
A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)
- 2017-02-28 09:57:50下载
- 积分：1
