Research and Realization of Adaptive Clustering Image Recognition Technology
Based on Cloud Architectures

Computer & Telecommunication

2016, Vol. 1

Issue (5): 30-32 DOI:

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Research and Realization of Adaptive Clustering Image Recognition Technology Based on Cloud Architectures

Huang Xuepei¹，Zhang Yan²，Xiang Ju³，Zhang Jiafeng²，Tang Lanqin²

College of Clinical Medicine, Changsha Medical University College of Computer Science,Changsha Medical University College of Basic Medicine, Changsha Medical University

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Abstract This paper provides high- precision image recognition service for mobile platforms. It analyzes and researches on SIFT and BRISK algorithm, and proposes a novel, efficient, lightweight adaptive clustering algorithm for image recognition which is suitable for Android. It designs a high-precision image recognition system based on the Android platform, using a variety of resources of Android to develop image recognition software. The results show that the system hardware is simple, low-priced, reliable, easy to be used and extended.

Key words： Android SIFT algorithm big data image recognition

Published: 10 November 2017

ZTFLH:

TP391.41

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	Huang Xuepei
	Zhang Yan
	Xiang Ju
	Zhang Jiafeng
	Tang Lanqin

Cite this article:

Huang Xuepei, Zhang Yan, Xiang Ju, Zhang Jiafeng, Tang Lanqin. Research and Realization of Adaptive Clustering Image Recognition Technology Based on Cloud Architectures. Computer & Telecommunication, 2016, 1(5): 30-32.

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http://www.computertelecom.com.cn/EN/ OR http://www.computertelecom.com.cn/EN/Y2016/V1/I5/30

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