本文選題：圖像識別 + 特征提取�。� 參考：《華北電力大學(xué)(北京)》2017年碩士論文

【摘要】：圖像識別屬于模式識別技術(shù),能夠通過計算機技術(shù)和現(xiàn)代信息處理技術(shù)模擬人的視覺認知和理解過程,它的主要內(nèi)容是根據(jù)圖像處理對圖像的特征進行提取,并以此為基礎(chǔ)對圖像進行識別和分類�；ヂ�(lián)網(wǎng)時代圖像識別技術(shù)除了被廣泛應(yīng)用于指紋識別、人臉識別、醫(yī)學(xué)診斷、衛(wèi)星航空圖片解釋以及遙感等這些專用領(lǐng)域外,也更多的應(yīng)用于人們的日常生活當(dāng)中。隨著網(wǎng)絡(luò)技術(shù)、計算機技術(shù)的軟件硬件技術(shù)的快速發(fā)展,多媒體技術(shù)也得到了迅速發(fā)展。人們?nèi)粘Ｉ钪蝎@取的信息手段更多來源于各種多媒體設(shè)備,如攝像機、照相機、音頻處理器、視頻處理器及手機等。這樣雖然豐富了信息形式,但也帶來了信息量的激增。在信息爆炸式增長的今天,如何從海量的信息中準確且快速的提取出感興趣的信息成為最迫切的問題�；趫D像識別的“以圖搜圖”成為研究的熱點。人們希望通過拍攝到的圖片獲取更多的信息。本文正是在這種背景下提出的,主要工作如下:首先,介紹了圖像識別在不同領(lǐng)域的研究現(xiàn)狀及應(yīng)用價值,對幾種較為經(jīng)典的圖像識別算法,以及圖像識別的相關(guān)技術(shù)進行了較為深入的分析。其次,針對所研究圖像的內(nèi)容,特別從顏色特征和紋理特征等幾個方面對圖像進行較為細致的描述。分析應(yīng)用LIRe圖像特征檢索庫,選取對花卉圖像有較好效果的特征描述方法,對圖像特征進行提取,構(gòu)建圖像特征庫。在Borda算法的基礎(chǔ)上,提出了融合多種特征的識別方法,并對該方法的識別效果及性能進行了對比分析。最后,本文在以Nodejs為開發(fā)語言,以Express為開發(fā)框架所構(gòu)建的花籃子系統(tǒng)平臺上,采用NoSQL數(shù)據(jù)庫——MongoDB數(shù)據(jù)庫,對所提出的多特征融合識別圖像的方法,設(shè)計完成了花卉圖像識別功能。
[Abstract]:Image recognition is a pattern recognition technology, which can simulate the process of human visual cognition and understanding through computer technology and modern information processing technology. Its main content is to extract the features of images according to image processing. And on this basis, the image recognition and classification. In the Internet era, image recognition technology is widely used in fingerprint recognition, face recognition, medical diagnosis, satellite aerial image interpretation, remote sensing and other specialized fields, but also more used in people's daily life. With the rapid development of network technology, software and hardware technology of computer technology, multimedia technology has also been developed rapidly. People get more information from various multimedia devices, such as cameras, audio processors, video processors and mobile phones. This enriches the form of information, but also brings a surge in the amount of information. With the explosive growth of information, how to extract the interesting information accurately and quickly from the massive information becomes the most urgent problem. Image recognition based on map search has become the focus of research. People hope to get more information by taking pictures. The main work of this paper is as follows: firstly, the research status and application value of image recognition in different fields are introduced, and several classical image recognition algorithms are introduced. And the related technology of image recognition is analyzed deeply. Secondly, the image is described in detail from several aspects, such as color feature and texture feature. Based on the analysis and application of Lire image feature retrieval library, the feature description method which has good effect on flower image is selected, and the image feature library is constructed. Based on the Borda algorithm, a new recognition method is proposed, and the recognition effect and performance of the method are compared and analyzed. Finally, on the platform of basket system based on Nodejs and Express, using NoSQL database, MongoDB database, the method of multi-feature fusion and image recognition is proposed. The function of flower image recognition is designed.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：S68;TP391.41

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