Shape Descriptor for Binary Image Retrieval

被引：0

作者：

Pwint, Moe Zet ^{[1
]}

Zin, Thi Thi ^{[2
]}

Yokota, Mitsuhiro ^{[2
]}

Tin, Mie Mie ^{[3
]}

机构：

[1] Miyazaki Univ, Dept Elect & Elect Engn, Miyazaki, Miyazaki, Japan

[2] Miyazaki Univ, Fac Engn, Miyazaki, Miyazaki, Japan

[3] Univ Comp Studies, Dept Comp Sci & Engn, Mandalay, Myanmar

来源：

2016 IEEE 5TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS | 2016年

关键词：

shape descriptor; Content-based Image Retrieval; binary image; angular radial histogram; region-based approach; Zernike moment; ZERNIKE MOMENTS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Content-based Image Retrieval (CBIR) system search the images according to the image content such as color, texture, shape and others prominent features from the image. Among these features, shape can give visual structure and appearance of the image. In this paper, we propose a system for binary image retrieval, using Zernike moment, angular radial histogram together with horizontal and vertical histogram of the image. We focus on region-based shape approach and features are extracted from the image. And then, similarity matching process between query image and images in the database is carried out. As a result, the extracted images are shown to the user according with the rank value. Some experimental results by using MPEG-7 CE Shape-1 Part-B dataset are presented.

引用

页数：2

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