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移動終端圖像識別應(yīng)用研究

發(fā)布時間:2018-04-24 22:04

  本文選題:圖像匹配 + SIFT算法; 參考:《北京郵電大學(xué)》2016年碩士論文


【摘要】:隨著社會的發(fā)展,生活中充斥著越來越多的logo,而當(dāng)前移動市場幫助人們識別這些logo的應(yīng)用少之又少。本課題旨在實現(xiàn)一個系統(tǒng)幫助人們識別這些陌生元素,為人們生活提供方便。本課題的核心技術(shù)是圖像匹配,詳細(xì)介紹了 SIFT和SURF兩種特征點提取算法,通過特征點提取、特征點匹配,最終完成圖像的識別。在深入研究兩種算法的基礎(chǔ)上,本課題設(shè)計實現(xiàn)了 logo識別系統(tǒng)。該系統(tǒng)分為客戶端、服務(wù)器端和圖像匹配程序共三個部分?蛻舳说闹饕饔脼閘ogo的采集、展示、查詢歷史以及用戶登錄等,并且為了彌補logo數(shù)據(jù)庫的不足,增加用戶的參與度,設(shè)置了補充logo的功能。這些功能為用戶交互提供了一個很好的平臺。服務(wù)端的主要功能為同客戶端進行數(shù)據(jù)交換,制定交互協(xié)議,將客戶端采集到的logo與數(shù)據(jù)庫已有的logo進行匹配,將得到的結(jié)果反饋給客戶端,完成整個系統(tǒng)的流程。圖像匹配程序主要完成圖像的識別工作,將用戶上傳的圖像與數(shù)據(jù)庫的所有l(wèi)ogo進行一一匹配,匹配成功則輸出最終結(jié)果。目前客戶端已在安卓系統(tǒng)上實現(xiàn),服務(wù)器則在Windows服務(wù)器上實現(xiàn),匹配程序使用C/C++語言編寫,部署在服務(wù)器端。經(jīng)驗證,該系統(tǒng)能夠較好的識別生活中的logo,在保證了一定的準(zhǔn)確性的前提下,能夠保障快速匹配。
[Abstract]:With the development of society, life is full of more and more logos, and the current mobile market helps people identify these logo applications are very few. The purpose of this paper is to implement a system to help people identify these unfamiliar elements and provide convenience for people's life. Image matching is the core technology of this paper. Two feature point extraction algorithms, SIFT and SURF, are introduced in detail. The recognition of image is finished by feature point extraction and feature point matching. Based on the research of two algorithms, this paper designs and implements the logo recognition system. The system is divided into three parts: client, server and image matching program. The main function of the client is the collection, display, query history and user login of logo. In order to make up for the deficiency of logo database and increase the participation of users, the function of supplementing logo is set up. These functions provide a good platform for user interaction. The main function of the server is to exchange data with the client, make the interactive protocol, match the logo collected by the client with the existing logo of the database, feedback the result to the client, and complete the whole system flow. The image matching program mainly completes the recognition of the image. The image uploaded by the user is matched one by one with all the logo of the database, and the final result is output if the match is successful. At present, the client is implemented on Android and the server is implemented on Windows server. The matching program is written in C / C language and deployed on the server side. It has been proved that the system can recognize logoon in life better and can guarantee fast matching on the premise of certain accuracy.
【學(xué)位授予單位】:北京郵電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2016
【分類號】:TP391.41

【參考文獻】

相關(guān)期刊論文 前2條

1 陳汗青;萬艷玲;王國剛;;數(shù)字圖像處理技術(shù)研究進展[J];工業(yè)控制計算機;2013年01期

2 王軍;張明柱;;圖像匹配算法的研究進展[J];大氣與環(huán)境光學(xué)學(xué)報;2007年01期



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