Content-Based Image Retrieval Using Texture Color Shape and Region

被引：0

作者：

Shirazi, Syed Hamad ^{[1
]}

Umar, Arif Iqbal ^{[1
]}

Naz, Saeeda ^{[1
,2
]}

Khan, Noor ul Amin ^{[1
]}

Razzak, Muhammad Imran ^{[3
]}

AlHaqbani, Bandar ^{[4
]}

机构：

[1] Hazara Univ, Dept IT, Mansehra, Pakistan

[2] KPK, HED, GGPGC 1, Abbottabad, Pakistan

[3] King Saud bin Abdulaziz Univ Hlth Sci, Riyadh, Saudi Arabia

[4] Technol Control Co, Riyadh, Saudi Arabia

来源：

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2016年 / 7卷 / 01期

关键词：

CBIR; Color Space; Relevance Feedback; Texture Features; Shape; Color;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Interests to accurately retrieve required images from databases of digital images are growing day by day. Images are represented by certain features to facilitate accurate retrieval of the required images. These features include Texture, Color, Shape and Region. It is a hot research area and researchers have developed many techniques to use these feature for accurate retrieval of required images from the databases. In this paper we present a literature survey of the Content Based Image Retrieval (CBIR) techniques based on Texture, Color, Shape and Region. We also review some of the state of the art tools developed for CBIR.

引用

页码：418 / 426

页数：9

共 75 条

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