臺灣博碩士論文加值系統

隨者科技越來越發達，現代人長時間使用3C的比例也越來越多了，而長時間坐者使用3C產品可能會造成坐骨神經痛，坐骨神經痛也漸漸地成為文明病之一，坐骨神經修復也是近年醫療與研究的重要課題之一。
本研究針對的是較嚴重的坐骨神經修復的驗證，當坐骨神經斷裂時需仰賴人工修復方法來修復神經，人工修復方法有很多種，在不同狀況也有不同的修復效果，而判斷人工修復方法的優劣標準則是定期觀察坐骨神經元再生的數量，人工修復方法的研究需要大量圖片來實驗，因此傳統透過人為計算坐骨神經元數量會花費些許時間，本研究提出了坐骨神經元計數方法以協助醫療人員判斷神經修復方法的效果，以縮減醫療人員計算的時間與成本。
本研究所使用的圖片是經由鋨酸染色的老鼠坐骨神經元圖片，經由鋨酸染劑坐骨神經元在光學顯微鏡下會更明顯，本研究共使用88張鋨酸染色坐骨神經元，透過精確率(Precision)、召回率(Recall)與F-Measure評估方法及傳統計算方法作比較，本研究評實驗結果優於傳統計算方法，可以用來協助醫療人員判斷人工修復方法的驗證。

As the technology is developing rapidly, the proportion of people who use 3C long time is increasing. Using 3C long times on chair may cause Sciatica. Sciatica has gradually become one of the diseases of civilization. Sciatic nerves repaired is one of the important issues of health care and research in recent years.
This study is aiming at the verification of more serious sciatic nerves repaired. When the sciatic nerve is broken, the broken sciatic nerve needs to rely on artificial methods to repair sciatic nerves. There are many artificial repaired methods. Every different artificial repaired method has different effects in different conditions. To judge the artificial repaired methods is good or bad by observing the number of sciatic nerves regenerated. The study of artificial nerve method needs a lot of images to experiment. Traditional calculation method by person takes many times to count the number of sciatic nerves. This study presents the counting of sciatic nerves that can help professionals judge the artificial nerve methods results. The system can reduce the time and the cost of computing on professionals.
This study uses the images that are sciatic nerves stained with Osmium Tetroxide. The sciatic nerves are observed more obvious under the optical microscope via Osmium Tetroxide stained. This study uses totally eighty-eight pictures of sciatic nerves stained with Osmium Tetroxide. This study uses Precision, Recall, F-measure evaluating methods and the traditional method for comparison. This study is better than the traditional method. It can be used to help medical workers determine the verification of artificially repaired methods.

Table of Contents
摘要 i
Abstract ii
Chapter 1. Introduction 1
Chapter 2. Related work 5
2.1. Otsu’s method 5
2.2. Run Length 7
2.3. Region Labeling 8
2.4. Mathematical morphology 11
2.4.1 Thinning 11
2.4.2. Spur 12
2.5. Genetic Algorithm 13
2.6. Evaluating method 13
Chapter 3. Counting method of sciatic nerves 15
3.1. Preprocessing 15
3.2. Strengthen the edge of sciatic nerves 17
3.2.1. Enhance image contrast 18
3.2.2. Reinforce the edge of sciatic nerves 18
3.3. Edge identification of sciatic nerves 19
3.3.1. Simplifying the edge of sciatic nerves 19
3.3.2 Rule of shape 22
3.4. Counting of sciatic nerves 24
3.5. Genetic-Based counting parameter 26
Chapter 4. Experimental Results and Discussion 28
4.1. Experimental Results 28
4.2. Problem and Discussion 30
4.2.1. Similar color to edge an inside of the sciatic nerves 30
4.2.2. Fracture edge of the sciatic nerves 31
4.2.3. Interfered by Background 32
Chapter 5. Conclusion 33
Reference 34

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