【正文】 得所識(shí)別的字符為 6。 仿真二 ： ‘圖五’為待識(shí)別的模糊數(shù)字圖像，‘圖六’是經(jīng)過預(yù)處理后二值化的數(shù)字圖像，‘圖七 ’是經(jīng)過細(xì)化后的圖像 ，‘圖八’ 為骨架提取圖，計(jì)算得： DATA=[2,1,1,3,3,3]； 通過對(duì)比得：數(shù)字五跟 DATA 最為匹配，所以可以得出待匹配數(shù)字為 5。 圖五 圖六 圖七 圖八 結(jié)論 本論文對(duì)模糊數(shù)字預(yù)處理方面做了很多的研究，這研究主要集中在空域。在圖像調(diào)整方面應(yīng)用到灰度投影方面的知識(shí)。其次，在模板匹配方面，本論文在空域方面進(jìn)行加權(quán)匹配，提高了匹配準(zhǔn)確率。再次，在模板匹配上，本論文提出并研究圖像特征匹配，這對(duì)模糊圖像識(shí)別提供很有利的識(shí)別證據(jù) 本論文能順利完成，少不了李學(xué)斌老師的熟心指導(dǎo)，還有討論小組的成員。若是沒有他們的幫助，再次衷心甘心李老師以及所有個(gè)哦我提供幫助的同學(xué)們。 參考文獻(xiàn) 1 《一種改進(jìn)的模板匹配的數(shù)字識(shí)別方法》 劉洋洋 西安建筑科技大學(xué)信息與克制工程學(xué)院。 2《幾種基于模板匹配法的數(shù)字圖像識(shí)別分析》 吳小艷，王維慶 楊春祥 王小龍 新疆大學(xué)電氣工程學(xué)院。 3 《 基 于 特 征 匹 配 的 車 牌 識(shí) 別 算 法 研 究 》 來自網(wǎng)上 博客。 4《基于模板匹配的車牌識(shí)別及 MATLAB 實(shí)現(xiàn)》 伏紹鶇 來自網(wǎng)上資源博客。 5《基于 MATLAB 的改進(jìn)模板匹配方法的機(jī)器人目標(biāo)識(shí)別 系統(tǒng)》 張金國 呂庭豪 華中科技大學(xué)交通學(xué)院 湖北武漢。 6《基于數(shù)字圖像處理的車型車牌識(shí)別與超速檢測系統(tǒng)研究》 孫宏琦 7《數(shù)字識(shí)別及應(yīng)用》 鄔建 瓴 。 8 《基于模糊人工神經(jīng)網(wǎng)絡(luò)識(shí)別的水質(zhì)評(píng)價(jià)模型》 陳守煜 李亞偉 大連理工大學(xué)土木水利學(xué)院。 9 《一種高精度的圖像匹配算法》 主兆仲 周付根 劉志芳 楊建峰 北京航天航空大學(xué)。 10 《圖像匹配算法研究》 碩士 張強(qiáng) 西安電子科技大學(xué) 11《圖像匹配經(jīng)典算法及其改進(jìn)方法研究》 張紅源 張自立 軍械工程學(xué)院光學(xué)與電子工程系 12 《 Learning Templates from Fuzzy Examples in Structural Pattern Recognition》KwokPing Chan, Member, IEEE 13 《 IMAGE REGISTRATION BY TEMPLATE MATCHING USING NORMALIZED CROSSCORRELATION》 Jignesh N Sarvaiya Dr. Suprava Patnaik 14 《 Extraction of License Plate Region in Automatic License Plate Recognition》Department of Electronics and Communicatio Amrita Vishwa Vidyapeetham Kollam 15 《 Implementation of Number Recognition using Adaptive Template matching and Feature Extraction Method 》 Ketan ,Pradnya ,Pravin 。 16 《 Recognition of Number and Position using Image Processing Techiques for Solving dudoku Puzzles》 Pramod J Simha, Suraj K v, and Tejas Ahobala Electronics and Communications Department, VTUBNM Institute of Technology, Bangalore, India 本科生畢業(yè)設(shè)計(jì)（論文）任務(wù)書 設(shè)計(jì)（論文）題目： 基于模板匹配的模糊數(shù)字識(shí)別研究 學(xué)院： 信息學(xué)院 專業(yè)： 通信工程 班級(jí)： 通信 1003 學(xué)生： 指導(dǎo)教師： 李學(xué)斌 副教授 專業(yè)負(fù)責(zé)人： 1．設(shè)計(jì)（論文）的主要任務(wù)及目標(biāo) 用于安全防范的視頻監(jiān)控目前已在人流密集區(qū)域得到普及，然而由于監(jiān)控圖像較為模糊而難以很好發(fā)揮作用，其中監(jiān)控畫面中的較遠(yuǎn)距離汽車車牌號(hào)碼辨識(shí)困難就是一個(gè)急待解決的問題。本論文旨在運(yùn)用模式識(shí)別理論，通過對(duì)監(jiān)控圖像進(jìn)行適當(dāng)處理和建立模糊數(shù)字字符模板，研究基于模板匹配的模糊數(shù)字識(shí)別方法，以期提高視頻監(jiān)控效果，更好地維護(hù)社會(huì)治安和人民生命財(cái)產(chǎn)安全。 2．設(shè)計(jì)（論文）的基本要求和內(nèi)容 在查閱文獻(xiàn)了解有關(guān)視頻監(jiān)控及圖像處理技術(shù)的基礎(chǔ)上，分析不同模糊程度圖像中的數(shù)字特點(diǎn)，建立模糊數(shù)字模板，探索模糊數(shù)字的自動(dòng)識(shí)別方法。在嚴(yán)重 模糊情況下不要求識(shí)別絕對(duì)準(zhǔn)確，只要求通過技術(shù)分析為人眼辨識(shí)提供借鑒。 參考文獻(xiàn)不低于 15 篇（其中至少 5 篇為英文），圖像只考慮灰度圖，字符只考慮車牌上的數(shù)字，模糊等級(jí)至少考慮 5種情況。 3．主要參考文獻(xiàn) [1] 章毓晉 .圖像工程（上冊）圖像處理（第 2 版） .清華大學(xué)出版社，北京， 2021 [2] 4．進(jìn)度安排 設(shè)計(jì)（論文）各階段名稱 起 止 日 期 1 查閱資料，了解有關(guān)圖像處理及視頻監(jiān)控技術(shù)，撰寫文獻(xiàn)綜述、開題報(bào)告并翻譯 5000 字英文資料 2 收集制作各種模糊數(shù)字圖像，分析字符特點(diǎn) 3 建立不同模糊程度下的模板，進(jìn)行匹配識(shí)別 4 修改模板和算法，提高識(shí)別的準(zhǔn)確率 5 撰寫及修改論文 注：一式 4 份：學(xué)院、指導(dǎo)教師各 1 份，學(xué)生 2 份（畢業(yè)論文及答辯評(píng)分手冊各 1 份） 為你提供優(yōu)秀的畢業(yè)論文參考資料，請(qǐng)您刪除以下內(nèi)容， O(∩ _∩ )O 謝謝?。?！ A large group of tea merchants on camels and horses from Northwest China39。s Shaanxi province pass through a stop on the ancient Silk Road, Gansu39。s Zhangye city during their journey to Kazakhstan, May 5, 2021. The caravan, consisting of more than 100 camels, three horsedrawn carriages and four support vehicles, started the trip from Jingyang county in Shaanxi on Sept 19, 2021. It will pass through Gansu province and Xinjiang Uygur autonomous region, and finally arrive in Almaty, formerly known as AlmaAta, the largest city in Kazakhstan, and Dungan in Zhambyl province. The trip will cover about 15,000 kilometers and take the caravan more than one year to plete. The caravan is expected to return to Jingyang in March 2021. Then they will e back, carrying specialty products from Kazakhstan A small art troupe founded six decades ago has grown into a household name in the Inner Mongolia autonomous region. In the 1950s, Ulan Muqir Art Troupe was created by nine young musicians, who toured remote villages on horses and performed traditional Mongolian music and dances for nomadic families. The 54yearold was born in Tongliao, in eastern Inner Mongolia and joined the troupe in says there are 74 branch troupes across Inner Mongolia and actors give around 100 shows every year to local nomadic people. I can still recall the days when I toured with the troupe in the early 39。80s. We sat on the back of pickup trucks for hours. The sky was blue, and we couldn39。t help but sing the folk songs, Nasun says. The vastness of Inner Mongolia and the lack of entertainment options for people living there, made their lives lonely. The nomadic people were very excited about our visits, Nasun recalls. We didn39。t have a formal stage. The audience just sat on the grass. Usually, the performances became a big party with local people joining in. For him, the rewarding part about touring isn39。t just about sharing art with nomadic families but also about gaining inspiration for the music and dance. Ulan Muqir literally translates as red burgeon, and today39。s performers of the troupe still tour the region39。s villages and entertain nomadic families, but their fame has spread around the world. On May 16 and 17, nearly 100 singers and dancers from the troupe performed at Beijing39。s Poly Theater. Their show, titled Ulan Muqir on the Grassland, depicted the history and development of the art troupe. Being from the region allowed me to embrace the culture of Inner Mongolia and being a member of the troupe showed me where I belonged, Nasun, the art troupe39。s president, who is also a renowned tenor, tells China Daily. During a tour in 1985, he went to a village and met an elderly local man, who told him a story about his friendship with a solider from Shenyang, capital of Northeast China39。s Liaoning province, decades ago. The solider gave the old man a handmade saddle when they bid fa