A Comprehensive Survey on Content Based Image Processing Techniques

被引:1
|
作者
Mishra, Anil [1 ]
Kasbe, Tanmay [1 ]
机构
[1] Oriental Univ, Comp Sci Dept, Indore, Madhya Pradesh, India
来源
2019 IEEE INTERNATIONAL SYMPOSIUM ON SMART ELECTRONIC SYSTEMS (ISES 2019) | 2019年
关键词
Image Transaction; CBIR; Image Retrieval; Image Attributes; RELEVANCE FEEDBACK;
D O I
10.1109/iSES47678.2019.00097
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In modern computing world there is rapid growth in linage transaction. Most of the digital equipments generate images for different operations. It creates huge repository of images. Accurate Retrieval of desired images from these repositories becomes a challenging task for every researcher. There are tremendous methods of retrieval of images. CBIR is one of the well-liked techniques to pull out low level features of images. Some of the features are Color, shape, texture and Spatial Location. In the paper, we survey perception of CBIR, variety of techniques for retrieval, features of images, standard image datasets.
引用
收藏
页码:396 / 401
页数:6
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