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测试一幅图像的稳定程度指标,可用于图像融合、分类、图像分割等。经本人测试,效果很好,完全可用。-Degree of stability index test of an image can be used for image fusion, classification, image segmentation. After I tested, with good results, fully available.
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使用flda进行图像识别与分类,非常简练,而且注释清晰-Use flda image recognition and classification, very concise and clear comments
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利用LBG算法对若干图像文件进行归类,输出码本及分类结果
包含vector.txt及LBG.m两个文件,其中vector.txt文件为所有图像的矢量
LBG.m文件为图像检索,分类算法-LBG algorithm used to classify a number of image files, the output code and classification results
Contains vector.txt and LBG.m two files, where the v
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对分类后的图像求取几个经典的分类精度数据,一共包含是三个。-Image sorting after obtaining several classical classification accuracy of data, contains a total of three.
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一些图像分割中常用的感知器,这些感知器适用于分类的-Some image segmentation is commonly used in the perceptron, these sensors are applied to the classification of
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用c#编写的遥感处理界面,可以进行分类等简单的影像处理-C# prepared using remote sensing processing interface, you can perform simple image processing classification
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图像分割是图像处理的重要步骤, 由于彩色图像含有的信息比灰度图像还多, 因而对彩色图像分割的研
究越来越受到人们的关注. 提出一种新的基于RGB 空间颜色相似性的彩色图像分割方法. 首先比较各种颜色模
型的优势与不足, 然后根据RGB 颜色空间的颜色信息和亮度信息提出一种计算在RGB 空间下颜色相似性的方
法, 再结合提出的图像颜色分量计算方法, 从而形成颜色分类地图, 最后根据颜色分类图进行像素划分, 得到分
割结果. 实验在Matlab 平台上进行, 结果表明: 对于颜色分明
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基于叶片数字图像的植物识别是自动植物分类研究的热点。但是随着植物种类的增加,传统的分类方法由 于提取的特征比较单一或者分类器结构过于简单,导致叶片识别率较低。为此,本文提出使用纹理特征结合形状 特征进行识别,并且使用深度信念网络构架作为分类器。纹理特征通过局部二值模式、Gabor 滤波和灰度共生矩阵 方法得到。而形状特征向量由 Hu 氏不变量和傅里叶描述子组成。为了避免过拟合现象,使用“dropout”方法训练 深度信念网络。这种基于多特征融合的深度信念网络的植物识别方法-Plant based
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对给定的多幅图片先进行训练分类,并进行频率分析,对于测试的图像与训练图像进行频率做差,求其最小的差值所对应的训练图像,就实现了图形识别。-For a given number of pictures first training classification, and frequency analysis, for the test image and training images to do the frequency difference, find the minimum differe
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最新的基于卷积神经网络和字典对分类器的图像识别与分类算法资料-Image recognition and classification algorithm based on convolution neural network and dictionary classifier
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KM算法,通过对图片的像素点特征分类,实现图片杂质检测等功能-KM algorithm, through the image of the pixel classification to achieve image impurity detection and other functions
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易康分类特征介绍,多尺度特征融合的图形图像处理,基于C的-Yi Kang classification features introduced, multi-scale feature fusion of graphics and image processing, based on C
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Classic GLCM texture calculation method, Relief computing classification weight, Convolution operation is intended to signal and image rendering.
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对图像特征进行属性约简,找到最适合分类的特征。(Attribute reduction of image features, to find the most suitable features of classification)
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QT下基于opencv3.2的HSV图像分离,通过查找V分量上ROI区域最亮值的坐标,找到H分量上对应坐标的3*3矩形平均H值,判断出该坐标所处位置的颜色分类(QT under the opencv3.2 based HSV image separation, by looking for the V component on the ROI region of the brightest value coordinates, find the corresponding 3*3 coordin
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模糊C均值分类的实现matlab代码,附上具体图像的处理过程及实现结果(Fuzzy C classification of the realization of matlab code, attached to the specific image processing and implementation results)
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matlab小波变换图像融合源代码,文件分类存放(Matlab wavelet transform image fusion source code, file classification storage)
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Particle image segmentation and matching subroutines themselves are prepared, Dimensional phononic crystals FDTD method calculation examples band gap, Relief computing classification weight.
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对玻璃表面缺陷图像进行处理,进行分类识别(The glass surface defect image processing, classification and identification)
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关于matlab图像处理 识别 分类 神经网络 支持向量机(About MATLAB image processing, recognition, classification)
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