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Grayscaleimagesharpening
灰度图像图像锐化处理，拉普拉斯变换，梯度等(Grayscale image sharpening, Laplace transforms, gradients, etc.)
- 2010-10-25 17:27:54下载
- 积分：1
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differential-operation
实现图像的滤波、锐化、边缘检测、微分处理及图像平滑(Image filtering, sharpening, edge detection, differential processing and image smoothing)
- 2013-02-27 21:00:36下载
- 积分：1
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jibensanweibianhuan
说明： 可以实现旋转，错切，各种投影图，透视图。是学习三维变换很好的原始参考资料(Can rotate, shear, a variety of projection, perspective. Is to learn the original three-dimensional transform good reference)
- 2020-10-24 16:20:00下载
- 积分：1
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IPLib
基于VC++的RGB-IHS 变换实现过程和主成分分析 PCA 实现过程 .(The implementation process based on VC++ RGB-the IHS transform and principal component analysis PCA implementation process.)
- 2021-01-07 22:58:53下载
- 积分：1
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KMS_project
KMS跟踪算法源代码，目前最快的但目标跟踪算法（没有之一）。工程可以直接运行(KMS tracking algorithm source code, but the fastest target tracking algorithm. Project can be run directly)
- 2014-11-06 09:21:39下载
- 积分：1
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tool
工具条图标产生器，可以产生各种工具条图标(Toolbar icon generator, can produce a variety of toolbar icons)
- 2011-05-28 20:02:34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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IFC读写代码
IFC文件格式读取和写出源码，目前该源码是1.0版本(IFC file format reads and writes the source code, which is currently version 1.0)
- 2020-09-16 14:17:55下载
- 积分：1
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MRF2.2
MRF代码实现,visual C++ 代码，不错，可以尝试(an implementation of MRF)
- 2021-03-11 15:09:26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
