引用本文: 郑肇葆, 郑宏. 利用数据引力进行图像分类[J]. 武汉大学学报 ( 信息科学版), 2017, 42(11): 1604-1607.
ZHENG Zhaobao, ZHENG Hong. Image Classification Based on Data Gravitation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(11): 1604-1607.
 Citation: ZHENG Zhaobao, ZHENG Hong. Image Classification Based on Data Gravitation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(11): 1604-1607.

## Image Classification Based on Data Gravitation

• 摘要: 提出了一种建立在数据颗粒引力基础上的图像分类方法，此方法使用的数据颗粒质量是图像的特征（如图像的分形维）。对于每一类别训练数据颗粒集，图像特征采用训练数据颗粒集中几幅图像特征的均值mi，用训练数据颗粒集的像幅数wi作为它的权重，那么第i个训练数据颗粒集的质量为wi mi，而待检验数据颗粒是原子数据颗粒，其质量为1。假定待检验一幅图像数据颗粒j的特征为tmj，那么第i个训练数据颗粒集与待检验一幅图像的数据颗粒j之间的距离为|mi-tmj|。假定有3种不同类别的图像，从各类别中取出一部分图像组成3类训练数据颗粒集，求得每类数据颗粒集特征的均值和一幅待检验数据颗粒的特征值，按公式计算每类数据颗粒集对待检验数据颗粒的引力，3个引力中具有最大引力的类别即为待检验数据颗粒的类别。实验结果表明，基于数据引力的图像分类方法具有一定的优势。

Abstract: We put forward a method for image classification based on data gravitation. The quality of the data particles we use is the feature of the images(such as the fractal dimension of the image). For each kind of training data particle set, we use the mean of several image characteristics mi in the set to be the image characteristic, and the number of images wi to be its weight. So the quality of the i-thtraining data particle set is wi mi, and the data particle for inspection is atomic data particle with the mass of 1. Assuming that the characteristic of the image data particle for inspection j is tmj, the distance between the i-th training data particle set and the data particles for inspection j of the image is |mi-tmj|. Assuming that there are three different catagories of images, we choose the part of images from all kinds in order to compose three kinds of training data particle set, then work out the characteristic mean of data particle set of each kind and characteristic value of a data particle for inspection, which can be used to calculate the gravitation between data particle set of each kind and characteristic value of data particle for inspection. The kind with largest gravitation is the one of data particle for inspection. It is proved by the experimental result that the method for image classification based on data gravitation has a certain advantage.

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