A Survey on Recent Image Indexing and Retrieval Techniques for Low-level Feature Extraction in CBIR systems

被引：23
|
作者：
Juneja, Komal [1 ]
Verma, Akhilesh [1 ]
Goel, Savita [2 ]
Goel, Swati [1 ]
机构：
[1] AKGEC, Dept CSE, Ghaziabad, India
[2] IIT Delhi, CSC, New Delhi, India
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION TECHNOLOGY CICT 2015 | 2015年
关键词：
Content-Based Image Retrieval (CBIR); Texture Feature; Feature Extraction; Similarity measurement and Performance Parameters; LOCAL BINARY PATTERNS;
D O I：
10.1109/CICT.2015.92
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the modern era, with the explosive growth of image databases, huge amount of image and video archive led to rise of a new research and development of efficient method to searching, locating and retrieving of image. For this purpose, an efficient tool for searching, locating and retrieval of image is required. This paper presenting a survey on low-level feature description techniques for Content Based Image Retrieval is presented with its various applications.
引用
收藏
页码：67 / 72
页数：6
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