完整後設資料紀錄
DC 欄位語言
dc.contributor.author林育如zh_TW
dc.contributor.author侯君昊zh_TW
dc.contributor.authorLin, Yu-Juen_US
dc.date.accessioned2018-01-24T07:42:55Z-
dc.date.available2018-01-24T07:42:55Z-
dc.date.issued2016en_US
dc.identifier.urihttp://etd.lib.nctu.edu.tw/cdrfb3/record/nctu/#GT070259508en_US
dc.identifier.urihttp://hdl.handle.net/11536/143064-
dc.description.abstract顏色一直是人們第一件注意到的事,更是最容易讓人感受到"美"的媒介。在我們生活的環境中,可以說是色彩定義了各種物件的意義。樹是綠的,天空跟河川是藍的,水泥是灰的,遠近的不同,看到的色彩也不一樣,人們用眼睛看到的色彩可能因為他在時空中的位置不同隱含了各種意思,人們蒐集這個空間的顏色,則可拼湊出一整個區域的立體色彩空間。 色彩學是門古老的研究,比起冷硬的學說,人類對色彩的理解更傾向直覺的反應。世界上有許多機構一直在探討與追尋精準的色彩標示,這些色彩權威機構對於色彩應用與定義一直都是不可撼動的,因為他們掌握了如何提取色彩與標準化這些流程與數據,但在數位工具普及下,人們能更方便的紀錄與蒐集眼前所看到的一切圖像,快速的分析出圖像中的顏色並以網路分享到各個平台,讓更多人對美感產生共鳴。色彩的去權威化漸漸變成了顯學,使的色彩更容易被看見與應用。但一直以來,圖片蒐集取色都是一項封閉的行為,對圖片打卡標記為流行已久並很普遍的做法,但因為色票主要在呈現顏色而非景色,所以並沒有標注地點的習慣。回到最原始的使用習慣,色票搜集的最前端---素材蒐集為環境景色,並從景色中分析出顏色後,座標位置就對色票產生了意義,讓顏色可以放到地圖分享平台並做比對,後續產生更多的新型使用方式並讓色彩更容易被看見。 本研究建立一套關於環境的取色流程與色票,包含如何取得環境樣本,取色工具,影像處理與環境色相表現法,應用方法等,其中影像處理串連多個電腦輔助設計軟體,包括Photoshop與Google Maps的軟體整合,讓使用者可以更簡易,更快採集到有效且大量的環境色彩樣本,有助於掌握這個區域的基本環境狀況,用於多種設計或規劃層面。zh_TW
dc.description.abstractThis research proposes a new process and a toolkit to pick colors and mash up with Google Maps to build the foundation of the environmental color and Dynamic Color Scheme to become a platform of interoperable open data. If a large amount of environmental schemes are accumulated, this system can be used for National Land Use Monitoring Program. This research simplifies the process of color sampling, color picking then analyzes photos by toolkits creating Environmental Color Scheme (ECS). ECS is a type of Dynamic Color Scheme (DCS) and Personalized Color Scheme (PCS). DCS is dynamically redefined depending on certain contexts, e.g. location and mood, and PCS is used in fashion, personal preferences and so on. In practice, PCS & DCS exist already, for example in landscape design, and this research tries to extend their diversity to knowledge sharing, collective contributions and crowd intelligence. This thesis builds a workflow of color picking and color scheme, that consist of obtaining environmental samples, toolkit, image processing and visualization. Moreover, the process links several software and platforms, including Photoshop and Google Maps by scripting, so that users can easily and effectively collect valid and substantial environmental color samples. In addition, the color analysis of environment is going to help us on design or planning orders to reach the basic situation of the surrounding.en_US
dc.language.isozh_TWen_US
dc.subject環境色票zh_TW
dc.subject質量分析zh_TW
dc.subject取色方法zh_TW
dc.subjectEnvironmental coloren_US
dc.subjectQualitative data analysisen_US
dc.subjectcolor pickingen_US
dc.title環境色票的工具流程開發與視覺化zh_TW
dc.titleDeveloping a Process and Toolkits for the Sampling and Visualization of Environmental Color Schemeen_US
dc.typeThesisen_US
dc.contributor.department建築研究所zh_TW
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