臺灣博碩士論文加值系統

人體中含有許多潛藏的資訊，我們可以擷取並分析、進而解讀這些資訊來瞭解生理現象或疾病。例如在生物醫學中，藉由處理以及分析生物醫學影像來進行疾病的預防、檢測以及監控。本論文藉由光學虛擬活體組織切片影像了解位於人類皮膚中的膠原蛋白纖維的結構以及特徵，並定量分析皮膚中的膠原蛋白纖維的特徵，進而應用膠原蛋白纖維的特徵來探討跟人類醫學疾病的關聯性。因此本論文提出一個電腦輔助之膠原纖維特徵萃取以及量化膠原蛋白纖維特徵的演算法。由實驗結果以及與相關文獻之比較，本論文所提出之演算法不僅在生物醫學影像分析之領域具有極高的發展潛力，也於很多應用當中具備極大之醫學價值。

Human contains many hidden information and we can acquire, analyze hidden information and farther interpret hidden information to understand physiological phenomena or disease. In biomedical research, acquiring and analyzing biomedical images can efficaciously prevent and detect disease. In this thesis, we analyze and gain understanding the structure and features of collagen fibers in human skin by optical in vivo virtual biopsy images. For the application of biomedical images to investigate the relationship between features of collagen fibers and human medicine, a computer aided algorithm for quantifying features of collagen fiber is developed. The proposed algorithm has significant potential for biomedical image analysis and medical contributions. According to the results of this experiment we can come to the conclusion that our calculations are accurate.

摘 要 i
Abstract ii
致謝 iv
Table of Contents v
List of Table vii
List of Figures viii
Chapter 1 Introduction 1
1.1 Introduction 1
1.1.1 Background Information of Collagen Fibers 2
1.1.2 Background Information of the Acquired Images 4
1.2 Motivation 5
1.3 Organization of this Thesis 6
Chapter 2 Surveys of Related Works in the Literatures 7
2.1 Image Thresholding 7
2.2 Histogram Equalization 8
2.3 Gabor Filter 11
2.3.1 Two-Dimensional Gabor Filter 11
2.3.2 Properties of Gabor Filter’s Parameters 17
2.4 Scale-Space 18
2.5 Entropy 22
Chapter 3 Proposed Algorithm 24
3.1 Block Diagram 24
3.2 Filtering Procedure 25
3.3 Quantify Orientation Diversity of Collagen Fiber 30
3.3.1 Orientation Classification 30
3.3.2 Entropy Evaluation of Histogram of Orientation 34
3.4 Quantify Bundle Thickness of Collagen Fiber 36
3.4.1 Bundle Detection 36
3.4.2 Skeleton of Bundle Extraction 40
3.4.3 Thickness of Bundle Evaluation 42
Chapter 4 Experimental Results and Comparison 44
4.1 Experimental Result for Quantifying Orientation Diversity 44
4.2 Experimental Result for Quantifying Bundle Thickness 53
4.3 Comparison 64
Chapter 5 Conclusions and Future Works 67
5.1 Conclusions 67
5.2 Future Works 68
References 69

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