民以食為天。相信大家都有吃過熱炒或海鮮的經驗，尤其文蛤更是常見的海鮮料理食材，而它們的貝殼有些人喜歡把玩；有些人喜歡收藏。由於一般人對於貝類的認知不是很清楚，若從書上或是網路上比對資料那是相當曠日廢時，故能發展一套系統能夠準確的辨識，不僅可以快速查詢貝殼的種類，也可以減少人力的辨識。本研究針對數位典藏與數位學習成果入口網中的食用貝類進行研究辨識，共44種。
本研究最好的結果為實驗E，其方法首先為輸入貝類影像；其次，將影像轉為灰階圖；第三，對灰階影像做快速傅立葉轉換；第四，選取在四角之低頻頻率，其大小為 矩陣；最後，利用SVM分類即可辨識出為哪種貝類，其準確率有到100％，平均辨識一張貝類影像所花的時間約為0.044秒。

Food is the first necessity of the people. I believe that everyone has the experience of eating stir-fry or seafood, especially clam as a common ingredient of seafood cuisine. Some people like playing with its shell, while some others like collecting. Ordinary people generally don’t know much about shellfish, and it takes too much time to find information from books or the internet. Therefore, a perfect system for accurate identification can not only provide quick query of shell kinds, but can also reduce manpower in identification. This study focused on the research and identification of 44 kinds of edible shellfish recorded on the website of Digital Taiwan – Culture & Nature.
The best result of this study was experiment E: first, input the image of shellfish; second, convert the image into grayscale image; third, perform Fast Fourier Transform with the grayscale image; fourth, choose the low frequencies at four corners, which were 7×7 matrixes; finally, get the result of shellfish identification through SVM classification. The accuracy could reach 100% and the average time spent on identifying a shellfish image was about 0.044s.

英文部分：
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[2] J. Eakins and M. Graham, “Content-based Image Retrieval”, JISC Technology Applications Program, 1999
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[6] PhotoBook, http://www.aa-lab.cs.uu.nl/cbirsurvey/cbir-survey/node30.html
[7] The QBIC Project in the Department of Art and Art History at UC Davis, http://asis.org/annual-97/holt.htm
[8] WebSEEk, http://www.aa-lab.cs.uu.nl/cbirsurvey/cbir-survey/node44.html
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中文部份：
[9] 蘇裕盛，「利用影像特徵選取及分類方法於貝類檢索之研究」，國立高雄第一科技大學資訊管理系碩士論文，2008。
[14] 鐘國亮，「影像處理與電腦視覺」，台灣東華書局股份有限公司，2004
[15] Gonzalez．Woods,Digital Image Processing 3/e，繆紹剛譯，「數位影像處理」，台灣培生教育出版股份有限公司，2009
[24] 楊棠鈞，“結合Adaboost 分類器和支援向量機的路標辨識系統之實現”，國立成功大學工程科學系碩士論文，2009。
[27] 林維謙，“植基於支援向量機之人臉偵測與人臉辨識”，世新大學管理學院碩士論文，2007。
[38] 賴新田，“協助國小學生認識校園植物系統之研製”，臺北市立教育大學數學資訊教育教學碩士學位班碩士論文，2012。
[41] http://catalog.digitalarchives.tw/item/00/11/28/bb.html
[42] http://catalog.digitalarchives.tw/item/00/07/fc/03.html
[43] http://turing.csie.ntu.edu.tw/ncnudlm/
[44] http://turing.csie.ntu.edu.tw/ncnudlm/query_visual_bi/index.htm
[45] http://turing.csie.ntu.edu.tw/ncnudlm/query_keyword/q_by_word.htm
[46] http://fishdb.sinica.edu.tw/
[47] http://fishdb.sinica.edu.tw/chi/home.php
[48] http://shell.sinica.edu.tw/chinese/index_c.php
[49] http://shell.sinica.edu.tw/chinese/shelloutline.php?PAGE=1
[50] http://shell.sinica.edu.tw/chinese/classification_T.php
[51] http://catalog.digitalarchives.tw/Hotkey/428/1.html