本文選題：草圖檢索　切入點(diǎn)：手繪草圖　出處：《北京服裝學(xué)院》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：基于互聯(lián)網(wǎng)時代下多媒體技術(shù)的迅猛發(fā)展使得數(shù)字多媒體的存儲信息越來越龐大,因而圖像的管理與存儲也成為國內(nèi)外眾多學(xué)者重要的研究課題。隨著長期在該領(lǐng)域的深入探究,基于內(nèi)容的圖像檢索技術(shù)已獲得了顯著的科研成果。基于內(nèi)容與基于文本的檢索技術(shù)有著較明顯的不同之處。基于文本檢索的圖像檢索技術(shù)是根據(jù)用戶輸入的關(guān)鍵字來搜索到符合要求的圖片。但關(guān)鍵字文本因不同用戶主觀性而并不一定準(zhǔn)確,從而導(dǎo)致檢索結(jié)果有所偏差。而基于內(nèi)容的圖像檢索技術(shù)能夠較為完善的解決這一問題,不依賴關(guān)鍵字,把用戶手繪內(nèi)容作為輸入,根據(jù)內(nèi)容中物體線條整體廓特性進(jìn)行表現(xiàn)款式的特征提取,提出相應(yīng)的匹配算法,從而去相似性響應(yīng)大量圖片數(shù)據(jù)庫,達(dá)到對圖像內(nèi)容的全面檢索,篩查出目標(biāo),找到與之相似的圖片。于此同時,近年來智慧型手機(jī)、平板電腦等觸控輸入方式的設(shè)備在我們的生活中占據(jù)了主要位置,使得人機(jī)交互形式發(fā)生了重大轉(zhuǎn)變。人們在觸屏操作的方式下,可以較為準(zhǔn)確且輕松通過手繪把想要表達(dá)的想法表現(xiàn)出來,進(jìn)一步通過手繪的線條圖在大范圍圖片庫中找到與之近似的像。利用這樣的筆式界面技術(shù)進(jìn)行實(shí)時檢索符合用戶的思維與操作習(xí)慣,也便于用戶描述目標(biāo)檢索圖像。基于內(nèi)容的圖像檢索在服裝領(lǐng)域也運(yùn)用廣泛。經(jīng)查閱相關(guān)資料我們可以得知色彩、圖案、樣式是服裝最具特點(diǎn)的三大特征[1]。而草圖是服裝外形設(shè)計中一類相對高效的信息載體,在目前現(xiàn)有服裝款式圖的設(shè)計流程中,設(shè)計完成的服裝款式結(jié)構(gòu)是根據(jù)款式名稱或編號存人入文檔。設(shè)計師會根據(jù)現(xiàn)有或一般的版型基礎(chǔ)上設(shè)計紙樣,由于服裝的款式都是可以在基本紙樣結(jié)構(gòu)上作相應(yīng)調(diào)整而到達(dá)最后的紙樣結(jié)構(gòu),若僅以文字的描述去標(biāo)注款式缺少直觀性,局限性較大,如以圖像的形式作搜索條件可減少操作提高效率。因此,為了提高服裝設(shè)計師設(shè)計樣式的效率,提高原有傳統(tǒng)算法SURF以提高特征匹配檢索效率,在此基礎(chǔ)上本文設(shè)計并完成了基于服裝的草圖檢索系統(tǒng)。基于草圖的服裝圖像檢索系統(tǒng)主要難點(diǎn)表現(xiàn)在如下幾個要素:改變原有SURF算法使其具有提取具有服裝結(jié)構(gòu)描述的特征;草圖與樣本圖像之間特征提取和描述的一致性,使草圖特征與樣本特征所描述內(nèi)容相同;大規(guī)模數(shù)據(jù)庫檢索的效率,在保持大數(shù)據(jù)基礎(chǔ)不變的情況下提升檢索速率;改變移動客戶端與網(wǎng)絡(luò)服務(wù)端的傳輸方式,更加高效、便捷。系統(tǒng)創(chuàng)新性則體現(xiàn)在如下幾方面:將基于手繪的草圖圖像檢索技術(shù)與服裝創(chuàng)造性地相結(jié)合;突破已有傳統(tǒng)手繪草圖的特征提取算法,將服裝結(jié)構(gòu)加入特征描述中;初步并逐步系統(tǒng)性地建立以服裝特征為主的大規(guī)模數(shù)據(jù)庫�；诓輬D的服裝圖像檢索系統(tǒng)(Sketch Based Clothes Image Retrieval,SBCIR)的系統(tǒng)界面設(shè)置有一定大小繪圖區(qū)域,用戶可以繪制的草圖,并將系統(tǒng)中的結(jié)果顯示。在參數(shù)化設(shè)計已被廣泛運(yùn)用到服裝生產(chǎn)領(lǐng)域中的趨勢下,可以減少服裝設(shè)計師不必要的大量重復(fù)性操作,提高生產(chǎn)效率。
[Abstract]:The rapid development of multimedia technology and Internet era makes the storage of digital multimedia information becomes more and more huge and based on the management and storage of image has become an important research topic of many scholars at home and abroad. With the long term in the field of image retrieval technique has gained significant achievements in scientific research. Based on content and retrieval technology based on the text is different obviously. The text retrieval based on image retrieval technology is based on user input keywords to search to meet the requirements of the picture. But because of the different with the keyword text and headed view is not accurate, resulting in biased search results. Technology can better solve the problem of content image retrieval based on keywords, does not depend on the user, hand-painted contents as input, according to the overall characteristics of the object content in profile lines Feature extraction for performance styles, put forward the corresponding matching algorithm, in order to respond to a number of similar picture database, to achieve a comprehensive retrieval of image content, screening out the target, find a similar picture. At the same time, the intelligent mobile phone tablet computer in recent years, the touch input device occupies the main position in the in our lives, making human-computer interaction form has changed. People in the touch-screen operation mode, can accurately and easily by hand to want to express the idea, further to find similar as in a large range in the picture library through the lines of the sketch. Using the pen interface technology of such the real-time retrieval with thinking and operating habits of the user, the user can also describe the target image retrieval. Also widely used in the field of clothing image retrieval based on content checking related. The data we can know the color, pattern, style is the three characteristics of [1]. clothing and most of the features of the sketch is a relatively efficient carrier of clothing shape design, in the design process of the existing garment drawing in the fashion design is completed according to the style name or number stored into the document designer. According to the design pattern will version of existing or general, because the clothing styles are available in the basic pattern on the corresponding adjustment to the final pattern, if only in the description of the text to indicate lack of intuitive style, limitations, such as in the form of image search can reduce the operation conditions to improve the efficiency. Therefore, in order to improve the efficiency of designer style, improve the traditional SURF algorithm to improve the matching efficiency of retrieval, this paper is designed based on Service The sketch retrieval system. The retrieval system of clothing image sketch the main difficulties in the following: Based on the performance factors change the original SURF algorithm which has the characteristics of extraction clothing structure description; consistency between sketch and sample image feature extraction and description, the sketch features and sample features described in the same content; the efficiency of large-scale database retrieval in a large data base, to maintain unchanged the retrieval rate; change the mode of transmission, mobile client and server network more efficient and convenient. The system innovation is reflected in the following: the retrieval technology and creative hand-painted clothing sketch image based on the combination of traditional features; breakthrough sketch extraction the clothing structure join algorithm, feature description; preliminary system and gradually to establish large-scale data base on garment feature mainly based on. Clothing image retrieval system (Sketch Based Clothes Image a Retrieval, SBCIR) of the system interface settings have a certain size of the drawing area, the user can draw the sketch, and in the system the results show that the parametric design has been widely applied to the field of clothing production in the trend, can reduce unnecessary repetitive operation a fashion designer, improve the production efficiency.

【學(xué)位授予單位】：北京服裝學(xué)院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TS941;TP391.41

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