論文編號：etd-0730104-131644
統計 本論文已被瀏覽 3780 次，被下載 13083 次
中文姓名 胡冠宇
英文姓名 Guan-Yu Hu
電子信箱 不公開
系所名稱(中) 工程科學系碩博士班
系所名稱(英) Engineering Science
學年度 92
學期 2
學位(中) 碩士
學位(英) Master
論文種類 碩士論文
論文語文別 中文
口試日期 2004-07-23
論文名稱(中) 基於膚色之裸體影像偵測之研究
論文名稱(英) The Study on Naked People Image Detection Based on Skin Color
頁數 71
孫永年 - 口試委員
陳澤生 - 口試委員
王明習 - 指導教授

摘要

本論文在以膚色為基礎的裸體影像偵測研究上，提出一個新方法，以將裸體影像分成三大類特徵模組的方式來加以偵測。首先，採用Bayesian YCbCr膚色偵測模型，來做為膚色偵測的方法。再將含大量膚色的影像丟入裸體影像分類流程中，以分類出裸體影像和非裸體影像。而這些分類流程中，包含臉部特寫影像分類器，而用來過濾會影響裸體偵測效能的臉部特寫影像；全裸影像分類器，用來過濾膚色大量集中在軀體上，影像中人物一絲不掛之全裸圖；胸前特徵影像分類器，利用顏色和亮度上的差異，以及胸前特徵與膚色間之關係，來切割出胸前特徵，並以之作為裸露胸前特徵影像判別之依據；裸露私處部位影像分類器，利用快速物件分析的方式，分析膚色像素在影像上的分布，來切割出私處部位，並以之作為判斷之依據。本論文，測試了從網路下載總共1538張影像，研究成果有89.79%正確率，在未來不但有助於色情影像上的防堵，也能提供作為影像內容擷取技術上的參考。

章節目錄

中文摘要.........................................................i
Abstract........................................................ii
誌謝...........................................................iii
目錄............................................................iv
圖目錄..........................................................vi

第一章 緒論..................................................1
1.1 研究動機與目的...........................................1
1.2 過去之相關研究...........................................3
1.3 研究方法概述.............................................5
1.4 本文大綱.................................................6
第二章 膚色偵測技術..........................................7
2.1 色彩空間的選擇...........................................8
2.1.1 在膚色偵測技術上最好的色彩空間...........................8
2.1.2 YCBCR色彩空間...........................................10
2.2 膚色分類模型............................................12
2.2.1 BAYESIAN YCBCR膚色模型..................................12
2.2.2 BAYESIAN YCBCR膚色模型訓練流程..........................14
第三章 裸體影像分類器.......................................20
3.1 臉部特寫影像分類器......................................22
3.1.1 HAAR臉部偵測技術........................................24
3.1.2 臉部特寫影像分類........................................25
3.2 全裸影像分類器..........................................26
3.3 胸前特徵影像分類器......................................28
3.3.1 胸前特徵圖轉換(NIPPLE MAP TRANSFORMATION)...............29
3.3.2 胸前特徵圖的影像之加強(NIPPLE MAP ENHANCEMENT)..........30
3.3.3 胸前特徵的切割(NIPPLE MAP SEGMENTATION).................33
3.3.3.1 類似橢圓的形狀..........................................34
3.3.3.2 SOBEL邊界...............................................35
3.3.3.3 大量膚色環境............................................36
3.4 私處部位分類器..........................................38
3.4.1 應用SOBEL邊緣偵測的前處理...............................39
3.4.2 應用快速分析物件的前處理................................40
3.4.3 私處部位特徵的擷取......................................46
第四章 實驗結果與討論.......................................49
4.1 BAYESIAN YCBCR膚色模型測試結果..........................50
4.2 HAAR臉部特寫影像分類器測試結果..........................53
4.3 全裸影像分類器測試結果..................................55
4.4 胸前特徵影像分類器測試結果..............................58
4.5 私處部位影像分類器測試結果..............................61
4.6 整個裸體偵測系統測試結果................................64
第五章 結論與未來展望.......................................66
5.1 結論....................................................66
5.2 未來展望................................................67


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