PATTERN BASED OBJECT RECOGNITION IN IMAGE PROCESSING

被引：0
|
作者：
Deep, Samundra [1 ]
Li, Jian-Ping [1 ]
Khan, Asif [1 ]
Shaikh, Riaz Ahmed [1 ]
Memon, Muhammad Hammad [1 ]
Tao, Zhongyu [1 ]
机构：
[1] UESTC, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
来源：
2014 11TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2014年
关键词：
Pattern Recognition; Contents Based Image Retrieval; Feature Extraction;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Arrangement of description of any specific object have a pattern structure in image processing filed to analyze and observe a targeted object and declare as goal is a hot field of research. For a random situation complexity is going to increase when we have classes that specifies concurrently and co-relate with each other with complex database. With an algorithm to follow sketch and finalized as a particular object point relation to achieve the target is my approach in this paper. To sense an observation with CBIR, a neural network phenomenon also used here.
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页码：276 / 279
页数：4
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