Content Based Image Retrieval System Based on Watershed Transform for Trademark Images

被引：0
|
作者：
Crysdian, Cahyo [1 ]
机构：
[1] Univ Islam Negeri Maulana Malik Ibrahim UIN MALIK, Dept Informat, Fac Sci & Technol, Malang, Indonesia
来源：
2014 ELECTRICAL POWER, ELECTRONICS, COMMUNICATIONS, CONTROLS AND INFORMATICS SEMINAR (EECCIS) | 2014年
关键词：
content-based image retrieval; feature extraction; trademark; watershed transform; similarity; indexing strategy; image retrieval; tree structure;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper presents the development of content-based image retrieval system to search similar symbols from a collection of trademark images. The system consists of two stages i.e. feature extraction and similarity process. Watershed transform is employed to handle feature extraction process. Two features are derived from this stage i.e. object size and shape from each image. These features are used as the reference value for the next stage which consists of indexing and retrieval process. In this stage, a tree structure is built for handling index assignment that facilitates storing and searching process. Experiment has been conducted to measure system performance and the result shows that the developed CBIR system is useful to retrieve similar symbol from the collection of trademark images.
引用
收藏
页码：116 / 120
页数：5
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