In this paper, a novel method for binary image comparison is presented. We suppose that the image is a set of transactions and items. The proposed method applies along rows and columns of an image; this image is represented by all frequent itemset. Firstly, the rows of the image are considered as transactions and the columns of the image are considered as items. Secondly, we considered rows as items and columns as transactions. Besides, we also apply our technique to color image; firstly we segment the image and each segmented region is considered as a binary image. The proposed method is tested on the MPEG7 database and compared with the moment’s method to show its efficiency.

中文翻译：

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使用频繁项集的二进制图像描述

本文提出了一种新的二值图像比较方法。我们假设图像是一组交易和项目。所提出的方法适用于图像的行和列。该图像由所有频繁项集表示。首先，将图像的行视为事务，将图像的列视为项目。其次，我们将行视为项目，将列视为事务。此外，我们还将我们的技术应用于彩色图像。首先，我们对图像进行分割，每个分割的区域都被视为二进制图像。将该方法在MPEG7数据库上进行了测试，并与目前的方法进行了比较以显示其效率。