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.

引用

页码：276 / 279

页数：4

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