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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
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lda_hash
以SIFT特征为目标输入，LDAHash方法进行降维实现目标识别(SIFT features input LDAHash method to reduce the dimensionality of the target recognition)
- 2021-01-01 18:28:58下载
- 积分：1
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ERNSYMNTY
基于VisualC_和DCMTK的医学DICOM图像显示与调窗,同时在MFC 下完成鼠标拖动进行窗宽/窗位的调节(Medical image of DICOM VisualC_ and DCMTK display and window based on, at the same time in MFC complete the mouse to drag the window width/window regulator
)
- 2013-08-26 22:03:24下载
- 积分：1
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vtk-CT(MC)
MC算法实现CT医学图像的三维重建，面绘制技术(MC algorithm CT medical image reconstruction, surface rendering technology)
- 2014-02-25 10:14:46下载
- 积分：1
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jpeg
本项目成功地实现了jpeg图像的压缩非常实用！！！！！！(The project successfully realized the jpeg image compression is very useful!!!!!!!!!!!!!!!!)
- 2016-03-13 05:37:57下载
- 积分：1
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Face
通过对二维人脸图片的特征提取进行三维人脸的重建(Through the two-dimensional face image feature extraction for three-dimensional reconstruction of human faces)
- 2009-03-01 01:57:59下载
- 积分：1
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algorithm-of-findpath
绣花问题是连续型的填充，在不同区域的缝制过程中，缝针不能提针，因此不能用一般的离散型区
域填充方法处理。本文运用几何计算和图论理论提出了一个绣花缝针轨迹自动生成算法：先对轮廓走向进行
定义，通过轮廓铅垂方向的局部极值点的分割线将图案从上向下进行分割，采用交点的特征值比较彻底的解
决了分割时的重点问题，将图案区域准确的划分成缝针能一次完成的若干个节点。在此基础上根据节点的邻
接关系建立节点的邻接“图”，通过图论中半哈密尔顿路径或深度遍历方法找到节点的遍历（缝制）序列和每
个节点的缝制方向，最后可对设定的起点、终点和缝针间隔的条件自动提供缝针的走向轨迹。(In the process of embroidering, needle can not hang up for changing to a different area. Therefore, Embroider
problem could be abstract as a continuous area-filling work. Considering disperse area-filling methods can not process this
problem well. Based on geometry computing and graph theory, an algorithm of finding path of embroidering needle are
proposed in this paper. First, outline orientations are defined, and finding all local extreme points of inner outline on their
gravitational orientation to build sectioning lines so as to divide the picture. By using intersection point character the
overlap point problem was solved perfectly. Therefore, the picture is divided into some nodes which can be finished alone.
Then, based on connections of these nodes, an adjacency graph of nodes was built. Using half-Hamilton path or depth-first
search method, both embroidering sequence and direction of these nodes could be got from the graph. Finally, from a
defined start-point, end-point)
- 2012-12-09 23:26:22下载
- 积分：1
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Y824793[1].zip
PACS系统的图像浏览软件的分析与设计 硕士学位论文 DICOM通讯(PACS system, image viewing software analysis and design of a master' s degree thesis DICOM communication)
- 2011-01-04 20:28:04下载
- 积分：1
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232
实现运动目标的跟踪，首先用鼠标选取一个区域。之后能自动跟踪这个目标(Tracking of moving objects, first use the mouse to select a region. After automatic tracking of this objective)
- 2012-05-29 22:25:21下载
- 积分：1
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sift_ImageProcessing
sift特征点检测及图像拼接，matlab7.0实现的，我从别人那里整过来的，测试的话，用在matlab里面直接调用match( b1.jpg , b2.jpg )即可，我测试成功，里面也有说明文档，为了科研，共享，希望大家有好的代码都0分共享，与己方便，与人方便，中国科研才会发展更迅速(sift feature point detection and image stitching of, matlab7.0 realized, I come from others where the whole test, used in matlab inside direct calls to match (' b1.jpg' , ' b2.jpg' ) can I test success, which also has documentation, in order to research, share, and hope everyone has a good code sharing, and has convenient, and accommodating, the more rapid development of China' s scientific research will)
- 2012-10-11 23:37:29下载
- 积分：1
