(18.206.238.77) 您好!臺灣時間:2021/05/17 18:39
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

: 
twitterline
研究生:陳慶順
研究生(外文):Ching-Shun Chen
論文名稱:基於數位影像檢索技術之無線網路安全資訊連結
論文名稱(外文):Based on Digital Image Retrieval Techniques For Secure Information Linking Through Wireless Network
指導教授:潘正祥
指導教授(外文):Jeng-Shyang Pan
學位類別:碩士
校院名稱:國立高雄應用科技大學
系所名稱:電子工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:中文
論文頁數:93
中文關鍵詞:版權保護資料隱藏行動電話網際網路關鍵字資料庫多媒體數位影像檢索無線網路網站處理中心
外文關鍵詞:copyright protectiondigital image retrievalwireless networkwebsitemanagement center
相關次數:
  • 被引用被引用:0
  • 點閱點閱:625
  • 評分評分:
  • 下載下載:3
  • 收藏至我的研究室書目清單書目收藏:1
最近幾年數位影像檢索技術已是非常熱門之研究領域。由於網際網路之普遍化,針對圖像資料認證及資料檢索於多媒體資訊之要求已非常迫切。關於數位多媒體之智慧圖像資料檢索也已是非常重要之課題。此外於相關應用上,有很多利用數位認證技術之商業產品,如圖像檢索及版權保護等等技術亦已提供於各種商業市場之應用。

本論文即將利用數位影像檢索技術於無線網路環境中與網站作相關資料連結。連結功能包含三個步驟:
(1) 利用具有攝影功能之數位手持式移動裝置拍攝相關印刷資料或圖標,並將拍攝圖片經由無線網路傳送回存至處理中心;
(2) 處理中心接收數位手持式移動裝置傳送之圖片後,自動以影像檢索技術,於資料庫內獲得對應訊息或是資訊內容,並回傳訊息至行動電話;
(3) 數位手持式移動裝置再利用此資料自動連接至相關網站,並顯示網站相關資料。

由於廣告圖片及美術館陳列圖像等等,皆可利用數位手持式移動裝置連結至相關網站。因此,此計劃之成功將可增加無限之商機。另者,資料之連結是經由大型圖像資料庫,以圖像檢索技術獲得特定資訊並提供安全之通訊。本技術亦可配合採用生物資訊如指紋,臉相及虹膜等作為獨特的特徵以增加安全之連線。

關鍵字:版權保護、資料隱藏、數位影像檢索、無線網路、網站、處理中心
In recent years, digital image retrieval technology has become a very active research field. Owning to the popularity of Internet connection, the demand for image data certified owner identity and other information for multimedia become very urgent. The certification and enforcement of intellectual property rights for digital multimedia have become an important issue. In addition, more and more commercial products with image retrieval technology, such as image database search and copyright protection, have entered the market for various applications.

In this thesis, we will develop the digital verification techniques to link the related information to website through the wireless network. The linking function includes the following three steps: (1) Use the cellular phone to capture an image of the printed material and send the image to a management center through the wireless communication. (2) Retrieve the information automatically from the mass image database of cellular phone by the management center. (3) Connect the cellular phone to the website of the data automatically by using feedback website address, and showing related information on the display of the cellular phone.

The success of this project will increase endless commercial value due to the pictures of the advertisement and the art gallery can be connected to related website by the cellular phone easily. Especially, secure communication can be done via the connection of the retrieved image data. In this thesis, we may also adopt the biometric information as the unique feature such as the fingerprint, face and Iris, to increase more secure connection.

Keywords: copyright protection, digital image retrieval, wireless network, website, management center
目錄 VI
表目錄 VIII
圖目錄 IX
第一章 緒論 1
1.1 研究動機 1
1.2 研究目的 2
1.3 主要貢獻 3
1.4 論文架構 4
第二章 基礎知識概述 5
2.1 色彩空間概念 5
2.1.1 RGB三原色色彩空間 5
2.1.2 YCbCr色彩空間 6
2.2 攝影鏡頭模組說明 7
2.3 攝影鏡頭攝像失真 8
2.3.1 環境光源照度不足失真 8
2.3.2 攝像手震抖動失真 9
2.3.3 攝像角度偏移失真 10
2.3.4 歪斜失真 11
2.3.5 攝像遠近縮放失真 12
2.3.6 對焦模糊失真 13
2.3.7 雜訊問題 14
2.4 半色調影像概述 (HALFTONE IMAGE) 14
2.5 影像檢索技術概述 (IMAGE RETRIEVAL) 17
第三章 整系統架構概論 19
3.1 近似研究 19
3.1.1 條碼概述 19
3.1.2 一維條碼 21
3.1.3 二維條碼 24
3.1.3.1 PDF417碼 26
3.1.3.2 QR碼 (QUICK RESPONSE CODE) 29
3.1.3.3 MAXI CODE 31
3.1.3.4 QUICK-MARK碼 34
3.1.3.5 高流通性的二維條碼綜合比較 35
3.2 數位影像檢索系統架構 36
3.2.1 系統架構 37
3.2.2 網路傳輸架構 38
3.2.3 伺服主機系統 40
3.2.4 手持式移動裝置概述 40
3.2.5 全系統運作流程 41
3.3 採用數位圖像檢索之資訊連結的優劣 42
第四章 系統實驗方法 44
4.1 影像檢索資料庫 44
4.2 數位影像檢索處理程序 46
4.2.1 圖像正規化 46
4.2.2 圖像灰階值轉換 47
4.2.3 中通濾波 48
4.2.4 半色調技術轉換 48
4.2.5 圖像角度旋轉校正 50
4.2.6 數位影像檢索 50
4.2 移動平台系統程式開發(SYMBIAN S60) 53
第五章 研究結果 56
5.1 中央伺服器資料庫建立 56
5.2 數位影像檢索效能 59
第六章 結論與未來展望 76
6.1 結論 76
6.2 未來展望 76
參考文獻 77
[1]J. S. Pan, H.-C. Huang, and L. C. Jain, Intelligent Watermarking Techniques, World Scientific Publishing Company, Singapore, 2004.
[2]J. S. Pan and J. W. Wang, 1999, "Texture Segmentation Using Separable and Non-separable Wavelet Frames", IEICE Transactions on Fundamentals of Electronics, Communication and Computer Sciences, Vol. E82-A, No. 8, pp. 1463-1474 (SCI, EI)
[3]J. W. Wang, C. H. Chen and J. S. Pan, 1998, "Genetic Feature Selection for Texture Classification Using 2-D Non-separable Wavelet Bases", IEICE Trans. on Fundamentals of Electronics, Communications And Computer Sciences, Vol. E81-A, No. 8, pp. 1635-1655. (SCI, EI)
[4]B. Y. Liao, J. W. Wang, F. H. Wang, J. S. Pan, and C. S. Shieh, 2000, "Evolutionary Feature Selection for Texture Classification Using Multiwavelets", IAPR Workshop on Machine Vision Applications, Tokyo, Japan, pp. 271-274
[5]J. W. Wang, J. S. Pan, C. F. Yu, B. Y. Liao and K. C. Huang, 1999, "Wavelet-Based Texture Segmentation with Genetic Feature Selection", ICEMI"99, Harbin, China, pp. 807-811
[6]J. W. Wang, C. H. Chen and J. S. Pan, 1997, "2-D Non-separable Wavelet Frames for Texture Segmentation Using Genetic Algorithms," International Workshop: Wavelets and Statistics, Duke University, pp. 110-114.
[7]L. J. Camp, “First Principles of Copyright for DRM Design,” IEEE Internet Computing, vol. 7, no. 3, pp. 59 – 65, May Jun. 2003.
[8]C. W. Tang and H. M. Hang, “A Feature-Based Robust Digital Image Watermarking Scheme,” IEEE Trans. Signal Processing, vol. 51, no. 4, pp. 950 – 959, Apr. 2003.
[9]Zhe-Ming Lu, Hao-Luo and Jeng-Shyang Pan, “Reversible Watermarking for Error Diffused Halftone Image Using Statistical Features”, Lecture Notes in Computer Science, 2006.

[10]A. Z. Tirkel, G. A. Rankin, R. M. van Schyndel, W. J. Ho, N. R. A. Mee, and C. F. Osborne, “Electronic Water Mark,” Digital Image Computing Techniques and Applications '93, pp. 666 – 672, 1993.
[11]Zhe-Ming Lu, Hao-Luo and Jeng-Shyang Pan, “Reversible Watermarking for Error Diffused Halftone Image Using Statistical Features”, Lecture Notes in Computer Science, 2006.
[12]M. S. Fu and O. C. Au, “Self-Conjugate Watermarking Technique for Halftone Images,” Electronics Letters, vol. 39, no. 4, pp. 356 – 358, Feb. 2003.
[13]Gunsel, B. and A. M. Tekalp, “Shape similarity matching for query-by-example,” Pattern Recognition, Vol. 31, No. 7, pp. 931-944, 1998.
[14]Pala, P. and S. Santini, “Image retrieval by shape and texture,” Pattern Recognition, Vol. 32, pp. 517-527, 1999.
[15]Nishida, H., “Structural feature indexing for retrieval of partially visible shapes,” Pattern Recognition, Vol. 35, pp. 55-67, 2002.
[16]Swain, M. J. and D. H. Ballard, “Color Indexing,” International Journal of Computer Vision, Vol. 7, no. 1, pp. 11-32, 1991.
[17]Ju, H. and K. K. Ma, “Fuzzy color histogram and its use in color image retrieval,” IEEE Transactions on Image Processing, Vol. 1, No. 8, pp. 944-952, 2002.
[18]Stricker, M. and M. Orengo, “Similarity of color images,” in Proceeding of SPIE Storage and Retrieval for Image and Video Databases, 1995.
[19]Pala, P. and S. Santini, “Image retrieval by shape and texture,” Pattern Recognition, Vol. 32, pp. 517-527, 1999.
[20]Nishida, H., “Structural feature indexing for retrieval of partially visible shapes,” Pattern Recognition, Vol. 35, pp. 55-67, 2002.
[21]Haralick, R. M., K. Shanmugam and I. Dinstein, “Textural features for image classification,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-3, pp. 610-621, May 1973.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊