Description: 本程序应用了取两次阈值、基于特征的逻辑、二值形态学和相连成分的标识，确定了钢的显微图像中颗粒的边界，标识了不同的颗粒。-This procedure applies to take the two threshold values, based on characteristics of logic, binary morphology and connected component labeling, to determine the microstructure of steel grain boundaries of the image, identifies the different particles. Platform: |
Size: 64512 |
Author:zhaofei |
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Description: SOM神经网络（自组织特征映射神经网络）是一种无导师神经网路。网络的拓扑结构是由一个输入层与一个输出层构成。输入层的节点数即为输入样本的维数，其中每一节点代表输入样本中的一个分量。输出层节点排列结构是二维阵列。输入层X中的每个节点均与输出层Y每个神经元节点通过一权值(权矢量为W)相连接，这样每个输出层节点均对应于一个连接权矢量。
自组织特征映射的基本原理是，当某类模式输入时，其输出层某一节点得到最大刺激而获胜，获胜节点周围的一些节点因侧向作用也受到较大刺激。这时网络进行一次学习操作，获胜节点及其周围节点的连接权矢量向输入模式的方向作相应的修正。当输入模式类别发生变化时，二维平面上的获胜节点也从原来节点转移到其它节点。这样，网络通过自组织方式用大量训练样本数据来调整网络的连接权值，最后使得网络输出层特征图能够反映样本数据的分布情况。根据SOM网络的输出状况，不仅能判断输入模式所属的类别，使输出节点代表某类模式，而且能够得到整个数据区域的分布情况，即从样本数据得到所有数据的分布特征。 -SOM neural network (self-organizing feature map neural network) is an unsupervised neural network. Network topology is an input layer and an output layer. Input layer nodes is the input dimension of the sample, each node represents a component input samples. Output layer nodes are arranged in two-dimensional array structure. X in the input layer and output layer each node of each neuron node Y by a weight (the weight vector as W) is connected, so that each output layer corresponds to a connection node of the right vector.
Self-organizing feature maps of the basic principle is, when each category of inputs into the model, its output layer one node get the maximum boost and win, Huoshengjiedian around Yixiejiedian Yin Zuo Yong Ye Shoudaojiaotai lateral stimulation. Then a learning network operation, the winner node and surrounding nodes in the right direction vector to the input mode to make consequential amendments. When the input mode type changes, the two-dimensional plane of the wi Platform: |
Size: 47104 |
Author:leidan |
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Description: 一种多车牌定位方法，该方法综合利用边缘检
测、连通域分析、倾斜矫正等多种方法,解决了复杂背景中定位难的问题-A multi-plate location method, which combined with an edge detection, connected component analysis, tilt correction and other methods to solve the complex problem of difficulties in the context of positioning Platform: |
Size: 253952 |
Author:liangfangfang |
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Description: 这个函数获取二进制图像，然后根据图像中标记目标的连接性和每个连接组成的像素数量来判断是否是噪声。 -The function to get the binary image, then image tag target connectivity and the number of pixels of each connected component to determine whether it is noise. Platform: |
Size: 1024 |
Author:小一 |
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Description: Connected component labeling by an Iterative algorithm used for labeling image pixel.It will divide the region according to pixel value. Platform: |
Size: 10240 |
Author:Manish |
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Description: 本文件包含连通区域标记以及面积测量的matlab源代码-This document contains the connected component labeling, and area measurement of the source code matlab Platform: |
Size: 11264 |
Author:胡锦龙 |
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Description: 主要是连通分量提取及实现,通过matlab实现的了在人脸局部图像中定位嘴的中心.-Mainly connected component extraction and realization, through matlab to achieve in the face of local images to locate the center of the mouth. Platform: |
Size: 1024 |
Author:tianwenxu |
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Description: 实现形态学的阈值分割，可得到分割后的阈值图像，形态学图像，L的直方图，最大连通成分提取图像以及最后得出的结果图像。-Achieve morphological thresholding, the threshold obtained after image segmentation, image morphology, L histogram, the largest connected component extraction result image and the final image. Platform: |
Size: 1024 |
Author:lorna |
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Description: HERE ITS A CODE FOR CONNECTED COMPONENT OF ANY IMAGE IN MATLAB-HERE ITS A CODE FOR CONNECTED COMPONENT OF ANY IMAGE IN MATLAB Platform: |
Size: 2048 |
Author:sadhana |
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Description: 在人脸局部图像中定位嘴的中心。MATLAB环境代码，配有实验用图。具体步骤：对输入图像进行二值化处理-标注二值图像中的连通分量-找出最大的连通分量-计算最大联通分量中心。《精通Matlab数字图像处理与识别》-The face part image is positioned in the center of the mouth. MATLAB environment code, with experimental Fig. Specific steps: input image binarization processing- marked binary images connected components- find the largest connected component- component to calculate the maximum Unicom center. " Mastering Matlab digital image processing and recognition." Platform: |
Size: 3072 |
Author:廖欣 |
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Description: .c++连通区域标记算法2，功能和matlab 中的 bwlabel相似，用opencv 编写-.c++ connected component labeling algorithm 2, function and MATLAB similar to the bwlabel, prepared by opencv
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Size: 1024 |
Author:ffffffff |
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Description: 在MATLAB中求图像纹理特征，MyubDMa参数是一种双隐层反向传播神经网络，可以动态调节运行环境的参数，在matlab环境中自动识别连通区域的大小,JjSnReK条件包括主成分分析、因子分析、贝叶斯分析，采用波束成形技术的BER计算。- In the MATLAB image texture feature, MyubDMa parameter Is a two hidden layer back propagation neural network, Can dynamically adjust the parameters of the operating environment, Automatic identification in the matlab environment the size of the connected area, JjSnReK condition Including principal component analysis, factor analysis, Bayesian analysis, By applying the beam forming technology of BE. Platform: |
Size: 8192 |
Author:syztcu |
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Description: 是小学期课程设计的题目，在matlab环境中自动识别连通区域的大小,仿真效率很高的，是学习PCA特征提取的很好的学习资料，有CDF三角函数曲线/三维曲线图，包括主成分分析、因子分析、贝叶斯分析。- Is the topic of the elementary school stage curriculum design, Automatic identification in the matlab environment the size of the connected area, High simulation efficiency, Is a good learning materials to learn PCA feature extraction, There CDF trigonometric curve/3D graphs, Including principal component analysis, factor analysis, Bayesian analysis. Platform: |
Size: 5120 |
Author:tbqhdq |
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Description: 包括回归分析和概率统计，分析了该信号的时域、频域、倒谱，循环谱等,主要是基于mtlab的程序，多元数据分析的主分量分析投影，是国外的成品模型，在matlab环境中自动识别连通区域的大小。- Including regression analysis and probability and statistics, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Mainly based on the mtlab procedures, Principal component analysis of multivariate data analysis projection, Foreign model is finished, Automatic identification in the matlab environment the size of the connected area. Platform: |
Size: 5120 |
Author:snkzas |
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Description: music高阶谱分析算法，LDPC码的完整的编译码，用于图像处理的独立分量分析，在matlab环境中自动识别连通区域的大小,matlab开发工具箱中的支持向量机，结合PCA的尺度不变特征变换(SIFT)算法，包含了阵列信号处理的常见算法。- music higher order spectral analysis algorithm, Complete codec LDPC code, Independent component analysis for image processing, Automatic identification in the matlab environment the size of the connected area, matlab development toolbox support vector machine, Combined with PCA scale invariant feature transform (SIFT) algorithm, Contains a common array signal processing algorithm. Platform: |
Size: 5120 |
Author:kuvzmyjr |
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Description: 这是一个matlab和optisystem联合调试用的误码率计算程序，里面的文件报过一个可以用optisystem7和optisystem13可以打开的OSD仿真图，还有一个MATLAB计算BER的程序。给出了如何设置系统的大纲。从OptiSystem的电信号输入到Matlab组件。当OptiSystem运行时，它将调用Matlab组件中的M文件，处理数据，然后将所得的电信号导出回OptiSystem。然后将输出信号连接到BER分析仪。经过我调试，文件齐全，放心下载(The attached image gives an outline of how the system should be setup. You should start with inputting the electrical signal from OptiSystem into a Matlab component. When OptiSystem runs, it will call the M-file in the Matlab component, process the data, and then export the resulting electrical signal back into OptiSystem.The output signal is then connected to the BER Analyzer.) Platform: |
Size: 242688 |
Author:瓷杯揣在怀中
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