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GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, chara
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Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clusteri
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本程序实现了对一副图像中的材质不同的物体进行分类,对于材质相同的物体归为一类.-the realization of the image of a different material objects to the classification, For the same material objects classified as a category.
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对象计算，使用图象处理技术对图象上的药品，颗粒等物体进行分类-object computing, the use of image processing technology to image the drugs, such as particle classification of objects
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This paper presents a novel segmentation algorithm for metallographic images, especially those objects without regular boundaries and homogeneous intensity. In metallographic quantification, the complex microstructures make the conventional approache
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This paper presents a novel segmentation algorithm for metallographic images, especially those objects without regular boundaries and homogeneous intensity. In metallographic quantification, the complex microstructures make the conventional approache
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用BP网络对遥感图像进行自动分类，并统计各地物的面积,BP network used for automatic classification of remote sensing images, and objects around the area of statistics
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SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula
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图像识别算法。对图像中不同的对象进行分类识别。如三角开，四边形，五边形等。-Image recognition algorithm. The image objects of different classification. Such as the triangle open, quadrilateral, pentagon and so on.
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为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
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实现ID3算法，在结果中以树表示出来。决策树是对数据进行分类，以此达到预测的目的。该决策树方法先根据训练集数据形成决策树，如果该树不能对所有对象给出正确的分类，那么选择一些例外加入到训练集数据中，重复该过程一直到形成正确的决策集。-ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose
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将图像中的物体按圆形度分类，并以不同色彩的边界标示圆形、矩形、不规则的阔图形、狭长图形4类图斑-Images of objects according to a circular classification, and the borders of different colors marked round, rectangular, irregular width graphics, strip chart graph 4 spot
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GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, chara
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利用自组织特征映射网络实现对图像中物体的自动分类算法。-The use of self-organizing feature map network objects on the image automatic classification algorithm.
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SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
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FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on division, and its thinking that it is making is divided into the same cluster of the bigge
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为了准确地对监控场景中的运动目标进行语义上的分类， 提出了一种基于聚类的核主成分分析梯度方向直方图和二叉决策树支持向量机的运动目标分类算法．利用背景减法提取运动目标前景区域， 并识别出潜在候选运动目标．利
用提出的基于聚类的核主成分分析的梯度直方图描述子提取候选运动目标的特征， 以较低维数的数据有效地描述运动目标的有效特征． 将提取的运动目标特征输入二叉决策树支持向量机， 实现多类目标的准确分类． 通过在不同视频序列上的实验验证， 提出的算法对运动目标进行较好地分类， 而且在运算速度方面较传
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通过小波变换对少量样本进行特征提取，达到识别同类物体的效果。-Of a small sample of feature extraction by wavelet transform, to achieve the effect of the recognition of similar objects.
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利用BP神经网络实现三类物体的分类,包含MATLAB和C#两种实现。-Using BP neural network to classify three types of objects.
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All Object Classification file(To classify the objects present in an image)
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