An image retrieval system based on the color, areas, and perimeters of objects

Ching Lin Wang; Ren Hung Hwang; Yung Kuan Chan; Chih Ya Chen; Chuan Chung Cheng

An image retrieval system based on the color, areas, and perimeters of objects

Ching Lin Wang, Ren Hung Hwang, Yung Kuan Chan^*, Chih Ya Chen, Chuan Chung Cheng

^*此作品的通信作者

智慧計算與科技研究所

研究成果: Article › 同行評審

摘要

Two different objects can be generally distinguished by their colors, areas, and perimeters. This paper hence proposes an image retrieval system which uses the colors, areas, and perimeters of objects in an image as the features of the image. The system is insensitive to the shift and rotation variations of objects in images, as well as to the scale and noise variations of images. The experimental results show that this system is capable of recognizing different images very well.

原文	English
頁（從 - 到）	319-330
頁數	12
期刊	Fundamenta Informaticae
卷	69
發行號	3
出版狀態	Published - 2006

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title = "An image retrieval system based on the color, areas, and perimeters of objects",

abstract = "Two different objects can be generally distinguished by their colors, areas, and perimeters. This paper hence proposes an image retrieval system which uses the colors, areas, and perimeters of objects in an image as the features of the image. The system is insensitive to the shift and rotation variations of objects in images, as well as to the scale and noise variations of images. The experimental results show that this system is capable of recognizing different images very well.",

keywords = "Color attribute, Color histogram, Color-based image retrieval, Image retrieval",

author = "Wang, {Ching Lin} and Hwang, {Ren Hung} and Chan, {Yung Kuan} and Chen, {Chih Ya} and Cheng, {Chuan Chung}",

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T1 - An image retrieval system based on the color, areas, and perimeters of objects

AU - Wang, Ching Lin

AU - Hwang, Ren Hung

AU - Chan, Yung Kuan

AU - Chen, Chih Ya

AU - Cheng, Chuan Chung

PY - 2006

Y1 - 2006

N2 - Two different objects can be generally distinguished by their colors, areas, and perimeters. This paper hence proposes an image retrieval system which uses the colors, areas, and perimeters of objects in an image as the features of the image. The system is insensitive to the shift and rotation variations of objects in images, as well as to the scale and noise variations of images. The experimental results show that this system is capable of recognizing different images very well.

AB - Two different objects can be generally distinguished by their colors, areas, and perimeters. This paper hence proposes an image retrieval system which uses the colors, areas, and perimeters of objects in an image as the features of the image. The system is insensitive to the shift and rotation variations of objects in images, as well as to the scale and noise variations of images. The experimental results show that this system is capable of recognizing different images very well.

KW - Color attribute

KW - Color histogram

KW - Color-based image retrieval

KW - Image retrieval

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M3 - Article

AN - SCOPUS:33644618639

SN - 0169-2968

VL - 69

SP - 319

EP - 330

JO - Fundamenta Informaticae

JF - Fundamenta Informaticae

IS - 3

ER -

An image retrieval system based on the color, areas, and perimeters of objects

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