基于云架构的自适应聚类图像
识别技术的研究与实现

黄学沛; 张燕; 项炬; 张佳峰; 汤岚钦

电脑与电信 ›› 2016, Vol. 1 ›› Issue (5) : 30-32.

基金项目

基于云架构的自适应聚类图像识别技术的研究与实现

黄学沛¹，张燕²，项炬³，张佳峰²，汤岚钦²

作者信息 +

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

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

Author information +

文章历史 +

摘要

针对移动平台提供高精度图像识别服务，对当前比较流行的SIFT 和BRISK 图像识别算法进行分析和研究，提出一种新型、高效、轻量级，适用于Android 的自适应聚类图像识别算法。并基于Android 平台设计了一套高精度图像识别系统，利用Android 本身提供的各种资源开发图像识别软件。结果表明：该系统硬件设备简单，成本较低、系统可靠、易于使用和扩展。

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.

导出引用

黄学沛, 张燕, 项炬, 张佳峰, 汤岚钦. 基于云架构的自适应聚类图像识别技术的研究与实现[J]. 电脑与电信. 2016, 1(5): 30-32

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

中图分类号： TP391.41