| 姓名 |
卓威辰(Wei-chen Cho)
查詢紙本館藏 |
畢業系所 |
遙測科技碩士學位學程 |
| 論文名稱 |
利用影像處理進行遙測影像的河道偵測與醫學影像的血管偵測
(A study of image processing technique for river detection in remote sensing image and vessel extraction in Cornea image)
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| 相關論文 | |
| 檔案 |
 [Endnote RIS 格式]
[Bibtex 格式]
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| 摘要(中) |
在過去幾年，有許多的學者做了許多有多關河道擷取的研究。而他們多數都是利用數值地形模型(DEM)及地理資訊系統(GIS)去達到目標，但是這些技術會有資料沒有更新的問題，所以無法得到目前河道確切的位置，另一方面，衛星每天拍攝地表，所以我可以利用遙測影像來做處理及偵測河道當下正確的位置。
這份研究會利用以下的方法去做擷取，首先，我們利用局部性灰階等化來增強影像對比，並用方向性中值濾波去消除雜訊，接著利用影像分類法來標示河道。為了改善雜訊及連接細的分支，再利用形態學的方法來處理。最後，我們利用遮罩去除單一雜點、利用霍夫轉換去連接斷線，以及去除短線等作法。這個研究的技術也可以用來處理醫學影像，我們會用角膜影像來證明血管擷取方法。
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| 摘要(英) |
There are researchers devoted their effort on river detection in the past decades. Most of them use digital elevation model (DEM) or Geographic Information System (GIS) for this task, but this types of data is seldom up to date. Therefore, the detection result may not represent the location of the rivers at present. On the other hand, satellites collect the remote sensing images from the ground every day, so we can detect the river and analyze the changes with recently acquired images. The objective of this research is to develop an algorithm with image processing techniques to detect river automatically.
Our proposed method includes the following steps. Firstly, adaptive histogram equalization method is applied to enhance our image, and then use direction median filter to reduce noises, sequentially classify image to locate rivers. We also use morphology method to remove noise and connect narrow breach. Finally, we use mask detect single-point and remove them, apply hough transform to connect broken line and delete short line deletion. Our method can also be applied on medical image. We will also demonstrate the detection of vessels in cornea image.
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| 關鍵字(中) |
★ 遙測
★ 影像處理
★ 霍夫轉換
★ 細線化
★ 調適性對比增強 |
關鍵字(英) |
★ Image processing
★ hough transform
★ thinning algorithm adaptive histogram equalizati |
| 論文目次 |
ABSTRACT (Chinese) …...…………………………………………..…i
ABSTRACT (English) …...………………………………………
致謝…………………………………………………………………iii
CONTENTS..…………………………………………..……………….iv
LIST OF FIGURES..………………………………………………...…vi
CHAPTER
1. Introduction……………………………………………...………...…1
1.1 Motivation……………………………………………………...….1
1.2 Thesis method and Flowchart……………………………………..2
1.3 Thesis framework………………………………………………….3
2. Image pre-processed method……………………………….………..4
2.1 Adaptive histogram equalization…………………….…………….4
2.2 Direction median filter…………………………………………….5
2.3 Minimum Euclidean Distance……………………………………..6
2.4 Minimum Mahalanobis Distance……………………………….....6
3. Line segment processing……………………………………………..8
3.1 Mathematical Morphology………………………………………...8
3.2 Thinning algorithm……………………………………………….10
3.3 Single point cleaning………………………….............................13
3.4 Hough transform………………………………………………….14
3.5 Line segment connection...............................................................17
3.6 Get endpoint and cross-point.........................................................18
4. Remote Sensing Experiment Result………………………………..20
4.1 Image introduction…………………………………….................20
4.2 Adaptive histogram equalization…………………………………22
4.3 Direction median filter……………………………………………24
4.4 Classification method…………………………………………….26
4.5 Morphology result………………………………………………..30
4.6 Thinning algorithm result………………………………………...35
4.7 Single point remove and Hough transform……………………….37
4.8 Short line deletion and Endpoint Cross-point extraction…………41
5. Medical Experiment Result………………………………………...46
5.1 Image introduction………………………………………………..46
5.2 Adaptive histogram equalization…………………………………48
5.3 Direction median filter……………………………………………50
5.4 Classification method…………………………………………….51
5.5 Morphology result………………………………………………..52
5.6 Thinning algorithm and Single point noise remove result……….54
5.7 Hough transform and Short line deletion………………………...55
5.8 Endpoint and Cross-point extraction……………………………..58
6. Conclusion and future work……………………………………......59
References…………………………………………………………60
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| 參考文獻 |
[1] 李洪靈，基於組件的長江遙感監測系統的研究與建立-以長江江蘇段河道遙感監測影用為例，南京師範大學自然地理學，碩士論文，2006
[2] L. Zhu, J. Zhang “River Change Detection Based on Remote Sensing Image and Vector” Proceedings of the First International Multi-Symposiums On Computer and Computation Sciences, Vol .1, pp.188-191. 2006.
[3] 劉守恆，衛星影像於崩塌地自動分類組合之研究，國立成功大學地球科學研究所，碩士論文，2002
[4] 黃帥豪，運用影像處理於航照影像之自動河道變遷分析，中原大學資訊工程學系，碩士論文，2006
[5] J.Y. Kim, L.S. Kim and S.H. Hwang, “An Advanced Contrast Enhancement Using Partially Overlapped Sub-Block Histogram Equalization,” IEEE Trans. on Circuits and Systems for Video Technology, Vol. 11, Issue 4, pp.475-484, Apr. 2001.
[6] T.K. Kim, J.K. Paik and B.S. Kang, “Contrast Enhancement System Using Spatially Adaptive Histogram Equalization with Temporal Filtering,” IEEE Transactions on Consumer Electronics, Vol. 44, Issue 1, pp.82-87, Feb. 1998
[7] 鄧樹楨、徐道義，方向性中值濾波術應用於調適影像對比增強法，中華印刷科技年報，2008
[8] S.Zhang and K.S. Fu, “A Thinning Algorithm for Discrete Binary Images,’’ Proc. ICCA’ 84, Int. Conference on Computers and Applications, Beijing, pp. 879-886, 1984.
[9] J. Wang and P.J. Howarth, “Use of the Hough transform in automated lineament detection,’’ IEEE Transaction on Geoscience and Remote Sensing, Vol. 28, No. 4 , 1990.
[10] 黃文增、余信緯、沈毅偉，低功率、低價格與小面積之指紋辨識系統之研究與實作，國立臺北科技大學電子工程系，2005
[11] 陳俊良，有效的指紋前處理及分類，淡江大學資訊工程學系碩士論文，2001
[12] Gonzalez, Rafael C. Woods, Richard E, Steven L, “Digital Image Processing using Matlab”, September 2005
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| 指導教授 |
任玄(Hsuan Ren)
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審核日期 |
2010-7-20 |
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