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ID:35063868
大小:5.41 MB
页数:75页
时间:2019-03-17
《基于多特征融合和深度学习算法的商品图像分类》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、代居鱼进整A邀r:=禱JIANGXIUNIVERSITYOFFINANCE&ECONOM忙S中图分类号—UDC硕±学位论文MASTERDISSERTATION基于多特征論合和深度学习算法的商品图像分类论文题目忡文)-ProductImageClassificationBasedonMultifeature论文题目典文()AE蜗i.QP..那过雄Lg.马邱.l〇g.!gorj.也巧高健杨小平副教授作者导师硕去培兼革位1旨息管理学院申请学位工程硕去巧算机枝术领撕计算机
2、技术学科专业研究方向二0—^六年六月独側性声晒本人声明所呈交的论文是我个人在导师指导下进行的研究工作及取得的研究成果,除了文中特别加L乂标注和致谢。尽我所知,也的地方外,论文中不包含其他人己经发表或撰写的研究成果不包含为获得江西财经大学或其他教育机构的学位或证书所使用过的材料一。与我同工作的同志对本研究所做的任何贡献均己在论文中作了明确的说明并表示了谢意。:、签名:苗後日期关于m《使厢媛敕齡谎W本人完全了解汪西财经大学有关保留、使用学位论文的规定,良,P:学校有权保留送交论文的复印件允许论文艘查阅和借阅;学校可
3、1^乂公布论文的全部或部分内容,可k乂采用影印、缩印或其他复制手段保存论文。(保密的论交在觸密眉遵守此规定)签名:导师絶違:日期:如I巧碼侯目录1绪论···························································································································11.1课题背景·········································································
4、································11.2选题依据和研究意义······················································································11.3国内外研究现状及发展动态··········································································21.4研究内容··························································
5、···············································61.5本文组织结构·································································································62相关技术简介···········································································································82.1开发语言··········
6、·······························································································82.1.1C语言·····································································································82.1.2C++语言·······································································
7、··························82.2MicrosoftVisualStudio集成开发环境····························································92.3MFC················································································································102.4OpenCV计算机视觉库·························
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