請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/15536完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 傅楸善 | |
| dc.contributor.author | Ying-Chia Yang | en |
| dc.contributor.author | 楊應甲 | zh_TW |
| dc.date.accessioned | 2021-06-07T17:47:35Z | - |
| dc.date.copyright | 2013-07-03 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-06-19 | |
| dc.identifier.citation | [1] N. Altun, “Adaptive (Local) Thresholding for AForge.NET,” http://nazmialtun.blogspot.tw/2010/10/adaptive-local-thresholding-for.html, 2013.
[2] Dr. V. A. Bharadi, “Canny Edge Detection in C#,” http://www.codeproject.com/Articles/93642/Canny-Edge-Detection-in-C, 2013. [3] C. Y. Chang, S. C. Li, P. C. Chung, J. Y. Kuo, and Y. C. Tu, “Automatic Facial Skin Defect Detection System,” Proceedings of International Conference on Broadband, Wireless Computing, Communication and Applications, Fukuoka, Japan, pp. 527 – 532, 2010. [4] Y. H. Chi, “Real-Time Skin Color Detection in Various Lighting Conditions,” Master Thesis, Department of Computer Science, National Chengchi University, 2007. [5] Itseez, “OpenCV,” http://opencv.org/, 2013. [6] K. R. Kim, Y. H. Choi, and E. J. Hwang, “Wrinkle Feature-Based Skin Age Estimation Scheme,” Proceedings of IEEE International Conference on Multimedia and Expo, New York, NY, pp. 1222 – 1225, 2009. [7] Y. H. Kwon and N. da Vitoria Lobo, “Age Classification from Facial Images,” Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, Seattle, WA, pp. 762 – 767, 1994. [8] S. Ohchi, S. Sumi, and K. Arakawa, “A Nonlinear Filter System for Beautifying Facial Images with Contrast Enhancement,” Proceedings of International Conference on Communications and Information Technologies, Tokyo, Japan, pp. 13 – 17, 2010. [9] Thyon Design, “Gamut: Let's Get Techni-Colour,” http://www.thyon.com/blog/gamut-lets-get-techni-colour, 2013. [10] Wikipedia, “Canny Edge Detector,” http://en.wikipedia.org/wiki/Canny_edge_detector, 2013. [11] Wikipedia, “HSL and HSV,” http://en.wikipedia.org/wiki/HSL_and_HSV, 2013. [12] Wikipedia, “Lab Color Space,” http://en.wikipedia.org/wiki/Lab_color_space, 2013. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/15536 | - |
| dc.description.abstract | 本論文提出一個基於灰階閥值和色域範圍的人臉特徵偵測方法。在本論文中，我們採用Canny邊緣偵測、自適閥值、CIELAB色彩空間、HSV色彩空間等技術，對高解析度的人臉影像進行皮膚紋理、皺紋、斑點、毛孔、青春痘、敏感、膚色均勻程度之特徵提取，透過與一般皮膚區域面積的比例判斷各種症狀的嚴重程度並給予相對應的評價。 | zh_TW |
| dc.description.abstract | A method of human face feature detection and analysis based on gray-scale threshold and color space value range is proposed in this thesis. In our work, we use techniques such as Canny edge detection, adaptive threshold, CIELAB color space, HSV color space, and so on to extract features including fine lines, wrinkles, spots, pores, acnes, sensitivity, and skin color uniformity from high-resolution human face images. We also provide the severity level of each symptom by measuring the area ratio of extracted features to normal skin and give corresponding evaluation. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-07T17:47:35Z (GMT). No. of bitstreams: 1 ntu-102-R01922018-1.pdf: 4017169 bytes, checksum: 840da7ee56b983a9746fe7035455888d (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 誌謝 i
口試委員會審定書 ii 中文摘要 iii ABSTRACT iv CONTENTS v LIST OF FIGURES vii Chapter 1 Introduction 1 1.1 Overview 1 1.2 System Framework 1 1.3 Literature Review 2 1.4 Thesis Organization 5 Chapter 2 Background 6 2.1 CIELAB Color Space 6 2.2 HSV Color Space 7 2.3 Canny Edge Detection 8 2.4 Adaptive Thresholding 9 2.5 Erosion and Dilation 9 Chapter 3 Hardware 12 Chapter 4 Methodology 13 4.1 Overview 13 4.2 Wrinkle, Fine Line, Spot, and Pore 15 4.2.1 Wrinkle and Fine Line 15 4.2.2 Spot and Pore 16 4.3 Brightness, Darkness, and Sensitivity 19 4.3.1 Brightness and Darkness 19 4.3.2 Sensitivity 19 4.4 Post-Processing 22 Chapter 5 Experimental Results 24 Chapter 6 Conclusion and Future Work 35 REFERENCE 36 | |
| dc.language.iso | en | |
| dc.subject | HSV | zh_TW |
| dc.subject | 人臉特徵分析 | zh_TW |
| dc.subject | 自適閥值 | zh_TW |
| dc.subject | CIELAB | zh_TW |
| dc.subject | CIELAB | en |
| dc.subject | HSV | en |
| dc.subject | Human face feature analysis | en |
| dc.subject | adaptive threshold | en |
| dc.title | 人臉特徵偵測與分析 | zh_TW |
| dc.title | Human Face Feature Detection and Analysis | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 李德峰,吳文明 | |
| dc.subject.keyword | 人臉特徵分析,自適閥值,CIELAB,HSV, | zh_TW |
| dc.subject.keyword | Human face feature analysis,adaptive threshold,CIELAB,HSV, | en |
| dc.relation.page | 37 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2013-06-19 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-102-1.pdf 未授權公開取用 | 3.92 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。