Description: 用于三分类的bp算法matlab程序
下面是一个两概念（一个三角形和一个矩形）学习的例子，是一个典型的多分类例子
分类结果的正确率可通过训练网络进一步提高
-for three classification algorithm Matlab procedures bp below is a two concepts (a triangle and a Moment fractal) learning example is a typical example of multi-classification results of the correct classification rate can be further enhanced training network Platform: |
Size: 32006 |
Author:张耀天 |
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Description: 本程序是一个最近邻分类算法的演示程序，本程序完成了三种最近邻的演示并实现算法的分析-this procedure is a nearest neighbor classification algorithm the demo program, the completion of a three- Nearest Neighbor algorithm demonstration and analysis Platform: |
Size: 283648 |
Author:luxiangzz |
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Description: 用于三分类的bp算法matlab程序
下面是一个两概念（一个三角形和一个矩形）学习的例子，是一个典型的多分类例子
分类结果的正确率可通过训练网络进一步提高
-for three classification algorithm Matlab procedures bp below is a two concepts (a triangle and a Moment fractal) learning example is a typical example of multi-classification results of the correct classification rate can be further enhanced training network Platform: |
Size: 31744 |
Author:张耀天 |
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Description: 数据是来源于图像的不变矩提取，这里是用matlab实现的，后面可能需要用vc实现，不过也不一定，数据是由房房同学提供的，说不定不用做
利用最简单的bp神经网络来实现分类，一共两类车辆，这里是模拟实现把，识别效果还能用，先凑合着把，这里的特征提取也够玄乎。
-Data is derived from the image moment invariants extraction, this is achieved using matlab, behind vc may need to achieve, but not necessarily, the data is provided by atrial students might not need to do the simplest use of bp neural network to achieve the classification, a total of two types of vehicles, this is the realization of the simulation, also used to identify the effect, first make do with the, where feature extraction玄乎enough. Platform: |
Size: 1186816 |
Author:车林 |
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Description: 灰度共生矩阵,半调图像
首先算出图像的增强的一维相关性,并用生经网络进行分类,可以分为6的大类
然后针对第三大类Cluster4和Diffuse8,可以利用图像的纹理特征参数(逆差矩)进行分类-Gray Level Co-occurrence matrix, first calculated image halftone images enhanced the relevance of one-dimensional, and the classification of Health through the network can be divided into 6 major categories and then for the third largest category of Cluster4 and Diffuse8, can make use of image texture characteristic parameters (deficit moment) to classify Platform: |
Size: 10240 |
Author:郭世雄 |
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Description: 根据：基于不变矩特征和神经网络的图像模式模糊分类 论文 在matlab上做的实验，有7个不变矩生成和神经网络分类的代码，还要论文原文-According to: Based on the characteristics of moment invariants and neural network image mode fuzzy classification papers in matlab to do the experiment, there are seven moment invariants and neural network classifier to generate the code, but also the original papers Platform: |
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Author:wanxl_xjtu |
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Description: 在图像处理与模式识别领域，边缘图像的moments序列是进行图像分类的高效手段。
本程序提供了moments序列的计算代码，以及中心化正交化moments序列的代码，并提供有二三阶moment计算出旋转不变moments的代码。希望对各位有所帮助。-In the field of image processing and pattern recognition, the edge of the image sequence of moments is a highly effective means of image classification. This procedure provides the calculation of moments code sequence, as well as the center of moments of orthogonal code sequences, and provide 23-order moment calculated spin moments of the code unchanged. I would like to help. Platform: |
Size: 1024 |
Author:gaojian |
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Description: 基于类别共生矩阵的纹理疵点检测方法 邹超 朱德森 肖力
摘要：根据有规则纹理的特点，提出了基于类别的共生矩阵来描述纹理特征，从而很好地将正常纹理与疵点区分开。分析了传统的灰度共生矩阵在计算纹理特征时计算量大，且分辨能力差的缺点．为了克服灰度共生矩
阵在计算量和分辨能力上的缺点，定义了类别共生矩阵．在类别共生矩阵的算法中，首先学习纹理的一些基本特征以确定类别共生矩阵的一些关键参数。如纹理的概率密度分布、纹理的主方向和周期，以及分类准则等重要参数，然后计算类别共生矩阵并提取白疵点增强、黑疵点增强和一致度等三个特征，最后采用异常点检测的方法即可很好地区分正常纹理和疵点．实验证明，该方法比已有的灰度共生矩阵计算量小，并具有更突出的分辨纹理和疵点的能力．-Class-Based Co-occurrence Matrix Texture defect detection method ZOU Chao Zhu Sen Xiao Li
Abstract: According to the rules-texture features is proposed based on categories of co-occurrence matrix to describe the texture features, which will be well distinguished from the normal texture with defects. Analysis of the traditional GLCM texture features in the calculation for calculating the volume, and the disadvantage of poor resolution. In order to overcome the symbiotic Gray Moment
Array in the calculation of capacity and the ability to distinguish the shortcomings of the definition of the categories of co-occurrence matrix. In the categories of co-occurrence matrix algorithm, first learn some basic features of the texture in order to determine the categories of some of the key parameters of co-occurrence matrix. Such as the texture of the probability density distribution of the main texture direction and cycles, as well as the classification criteria and other important parameters, Platform: |
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Author:李峰 |
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Description: 关于支持向量的简单分类和多分类与优化，还有不变矩的编程-Support vector classification of simple and multiple classification and optimization, there are moment invariants programming Platform: |
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Author:杨大鹏 |
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Description: 通过对断口图像FGLCM的14个特征统计量进行相关性分析，选择角二阶矩和熵等7个统计量作为特征参数，并验证了其有效性.最后，在4类典型断口图像的特征空间上，采用隐马尔夫模型（HMM）进行分类识别。-On the fracture characteristics of the 14 images FGLCM correlation analysis statistics, select the angular second moment and entropy 7 statistics as parameters, and verified its effectiveness. Finally, in four typical fracture image of the feature space , using hidden Malfoy model (HMM) for classification. Platform: |
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Author:朱秀红 |
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Description: this a code to calculate the moment invariant of images. the values which come out are capable of removing rotational, scaling, transnational variation in image given as input.classification can be done with the help of it.-this is a code to calculate the moment invariant of images. the values which come out are capable of removing rotational, scaling, transnational variation in image given as input.classification can be done with the help of it. Platform: |
Size: 1024 |
Author:vik |
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Description: this a code to calculate the moment invariant of images. the values which come out are capable of removing rotational, scaling, transnational variation in image given as input.classification can be done with the help of it.-this is a code to calculate the moment invariant of images. the values which come out are capable of removing rotational, scaling, transnational variation in image given as input.classification can be done with the help of it. Platform: |
Size: 1024 |
Author:vik |
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Description: 交通信号灯的检测是复杂场景下交通灯识别的重点。采用了色彩分割与关联滤波方案进行交通灯的检测。首先，建立交通信号灯的高斯模型，利用高斯向量与多色彩空间结合的方法进行图像分割。然后，采用基于区域增长与相似性判定的关联滤波，对色彩分割后的图像进行处理。最后，使用基于canny算子的边缘提取算法获取方向指示灯轮廓特征，并使用基于改进hu不变矩和马氏距离对方向指示信号灯进行分类。-The detection of traffic lights is the focus of traffic lights recognition in complex scenes. Using color segmentation and the associated filtering scheme, the detection of traffic lights. First, the Gaussian model to establish the traffic lights, the use of Gaussian vector with multi-color space for image segmentation. Then, using the associated filter, based on regional growth and the similarity determination processing of the image color segmentation. Finally, the canny operator edge extraction algorithm to obtain the direction indicator profile feature, and use the classification based on improved hu moment invariants and the Mahalanobis distance directional signal lights. Platform: |
Size: 13312 |
Author:谷文彦 |
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Description: HU的七阶不变矩，具有旋转，平移不变性，对图像描述稳定，，对于图像分类，匹配具有重要的作用，已通过测试。
-HU seven-order moment invariants, rotation, translation invariance, stable image description for image classification match has an important role, has been tested. Platform: |
Size: 1024 |
Author:kgd815 |
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Description: 矩特征主要表征了图像区域的几何特征,又称为几何矩， 由于其具有旋转、平移、尺度等特性的不变特征，所以又称其为不变矩。 利用不变矩进行识别与分类-Moment feature is mainly characterized by the geometric features of the image area, also known as geometric moments, due to its rotation, translation, scaling, and other characteristics of invariant feature, so called for the same moment. Identification and classification of invariant moments Platform: |
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Author:王灿 |
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Description: This paper aims to present a survey of object recognition/classification methods based on image moments. We review various types of moments (geometric moments, complex moments) Platform: |
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Author:Gowri |
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Description: Recognition/classification of objects and patterns independent of their position, size, orientation and other variations in geometry and colors has been the goal of much recent research. Platform: |
Size: 9216 |
Author:Gowri |
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Description: work-piecehu.rar基本功能：图像预处理，去除阴影，之后利用hu矩，SVM分类。 -The basic function of the work-piecehu.rar: image preprocessing, shadow removal, followed by Hu moment, SVM classification. Platform: |
Size: 6128640 |
Author: |
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