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vc_draw
VC中绘制坐标系、网格、常用数学函数以及辅助功能（背景色切换、坐标标题修改等）(vc draw)
- 2014-08-27 17:03:59下载
- 积分：1
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circle
一个会动得圆，让学习的人更好的了解C++知识，是最基本的知识，学习工程的基本入门。(Will get round a move, so who better to learn about C++ knowledge, is the most basic knowledge, basic engineering study entry.)
- 2011-08-17 17:47:38下载
- 积分：1
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polygon
一个计算多边形面积和周长的程序, 同时可以把多边形显示出来, 直观展现多边形形状.(A polygon area and perimeter calculation procedures, the polygons can be displayed simultaneously, intuitive show polygonal shape.)
- 2020-06-28 18:20:01下载
- 积分：1
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Saliency
显著图计算算法FT, SR, LC, HC, RC，以及saliency cut 的合集。(an windows msi for install saliency detection software, which includes the implementation for FT, SR, LC, our HC, RC and saliency cut method.)
- 2011-09-25 21:13:22下载
- 积分：1
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Feature-point-extraction
使用GDAL库，用于遥感影像的特征点提取(Using the GDAL library, used for remote sensing image feature point extraction)
- 2011-12-25 15:11:45下载
- 积分：1
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calibration
上传程序为利用vc编写的近景摄影测量程序，包括影像匹配，基本矩阵生成，核显影像生成等等。(Upload the program for the use of close-range photogrammetry vc written procedures, including image matching, basic matrix generation, nuclear generation, and so was the image.)
- 2016-10-06 20:23:51下载
- 积分：1
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-DOA
利用DOA和TOA对运动辐射源的单舰无源定位(Using a single passive location DOA and TOA ship moving emitter)
- 2021-01-16 13:58:45下载
- 积分：1
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ballalongline
小球沿斜线运动,可以扩展到其他程序中，第一次上传，谢谢。(a ball along with a line.)
- 2013-11-17 20:53:20下载
- 积分：1
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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
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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
