基于简单形状描述符的歌曲主题图像检索

N. Jamil, Z. Bakar, T. Sembok
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引用次数: 24

摘要

歌ket是马来人传统的手工编织布,它的美丽在于布上复杂编织的歌ket图案的设计。尽管颜色是图案的一个特征,但形状在决定图案类型方面更为重要。本文描述并测试了使用五种几何形状描述符的不同组合检索歌曲主题图像的效率。尽管已有许多基于形状的图像检索方法,但本文的目标是利用几何形状描述符的更快计算来检索图像。本文选取了50个歌曲主题作为样本查询。利用欧几里得距离测量图像的相似度,利用查全率和查准率评价图像的检索效果。实验结果表明,几何形状描述符可以有效地检索歌曲图案
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Retrieval of Songket Motifs Using Simple Shape Descriptors
Songket is a traditional handwoven cloth of the Malays and its beauty lies on the design of the songket motifs intricately woven on the cloth. Even though color is a feature of the motif, shape is more important in determining the type of the motifs. This paper describes and tests the efficiency of retrieving songket motifs images using different combination of five geometric shape descriptors. Even though there are many existing approaches of shape-based image retrievals, the goal of this paper is to take advantage of the faster calculations of the geometric shape descriptors to retrieve the images. Fifty selected songket motifs are used as sample queries in this paper. Similarities of these images are measured using Euclidean distance and performance of the retrieval effectiveness is evaluated using recall and precision rate. Results of the experiment showed that geometric shape descriptors are effective in retrieving the songket motifs
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