期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：4
出版社：IJCSI Press
摘要：Object recognition is one of the most important tasks in computer vision domain. In this paper, a novel method is proposed to recognize objects using shape information based on statistical and structural approaches. For the extraction of shape information, first decompose the original image, then real complement approach using rotations are proposed. Wavelets rearrange the shape of an object for reaching a desirable size. In addition, a set of statistical features are constructed, which can be used for object recognition. We have applied this method to representation and recognition of Flavia and Swedish leaf datasets. Experiments show that a combined statistical and structural approach is superior to other state-of-the-art methods.
关键词：Object recognition; shape; statistical features; real complement approach.
