跳到主要內容

臺灣博碩士論文加值系統

(18.97.14.86) 您好!臺灣時間:2025/02/20 04:43
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:郭宗曉
研究生(外文):Zongxiao Guo
論文名稱:微波滅蟲實驗中紅外熱像系統之輸出數據處理研究
論文名稱(外文):Data Processing of Flir Tau2 Camera System in Microwave Insect Control Experiment
指導教授:朱國瑞朱國瑞引用關係
指導教授(外文):Kwo-Ray Chu
口試日期:2017-07-11
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:物理學研究所
學門:自然科學學門
學類:物理學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:36
中文關鍵詞:數據處理Flir Tau2圖像降噪圖像二值化微波滅蟲
外文關鍵詞:Data ProcessingFlir Tau2Image DenoisingImage BinarizationMicrowave Insect Control
相關次數:
  • 被引用被引用:0
  • 點閱點閱:134
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
微波滅蟲是一個多年來一直吸引學界注意的研究題目,微波滅蟲研究的過程中會面臨許許多多問題,其中一方面便是數據處理。本研究隸屬於微波滅蟲研究的一部分,該微波滅蟲實驗採用24GHz的高功率電磁波作為微波源,有別於目前其他研究多採用的較低頻率微波進行處理,高頻率的微波可以達到快速加熱且溫差較大的效果。
在24GHz微波滅蟲實驗中,測量加熱數據的方法是在實驗箱中安裝紅外熱像儀(該熱像儀型號為Flir Tau2)進行加熱過程的溫度場測量。在Flir Tau2紅外熱像儀測量、數據輸出和後期數據處理的過程中,會產生一系列的問題。本研究主要為了解決紅外熱像儀後期處理面臨的兩個個問題:一、熱像儀由於處於複雜的電磁環境以及一些不明原因,輸出的數據帶有一定的噪聲,需要對輸出數據進行除噪聲的處理;二、為了快速批量處理溫度場數據,需要準確確定研究對象(米粒)邊界以對邊界內對象的溫度分佈進行批量處理。
在本研究中,為解決上述問題一,採用了兩種種圖像降噪算法(中值濾波、高斯濾波)進行對比分析其在本實驗應用中的優劣,並發現中值濾波算法在本實驗中可以取得相當好的降噪效果。為解決上述問題二,需要先對紅外熱像儀輸出的圖像進行二值化,本研究中比較了多種二值化算法(包括基於谷底最小值法、雙峰平均值法和大津算法)的優劣,並發現基於谷底最小值法在本實驗中可取得較好的效果;同時提出了一種針對圖像裡對象和背景區分不明顯難以二值化後清晰辨認對象邊界的處理方法。二值化完成後,進一步開發了批量處理數據程式,以完成溫度場數據的處理。
本研究最後提出了處理差溫加熱實驗中Flir Tau2 紅外熱像儀輸出數據的處理一般流程,並提供了相關程式代碼。可為整個微波滅蟲實驗的數據處理過程節省相當的時間,並且一定程度上提高的實驗的精確度。
Microwave insect control has been attracting academic attention for many years. There are many problems worth to research in the process of microwave insect control and one of them is data processing. This study is part of the microwave insect control project. In our microwave insect control, we set a 24GHz high power microwave source which is different from other low frequency microwave used before.
In the 24GHz microwave insect control experiment, Flir Tau2 camera is set inside the chamber to detect the temperature field during heating. But during the temperature detecting , data output and data processing, we have to face a great number of problems. This study is mainly to solve two problems in data processing. Firstly, Flir Tau2 camera''s output images have noise which may cause by the complex electromagnetic environment or other unknown impact. Secondly, in order to process temperature data in batch quickly , it is necessary to accurately determine the object''s (grain) edge.
In this study, two kind of image denoising algorithms (Median Filter and Gaussian Filter) are used to solve the first problem above. The advantages and disadvantages of this two kind of denoising algorithms are compared and we found that Median Filter can get a better denoising result. In order to solve the second problem above, we need to binarize the image at first step. We compare three kinds of binarization algorithms (Minimum Method, Intermodes Method, Otsu Method), and find that Minimum Method can achieve better results in this experiment. At the same time, a method is proposed to clearly identify the edge of object in some cases while the three method cannot work directly. After binarization, a batch data processing program is developed to complete the last step of data processing.
Finally, a general data processing process is proposed in this experiment. Which can save considerable time and improve the accuracy of experiment.
誌謝……………………………………………………… I
中文摘要………………………………………………… II
英文摘要………………………………………………… III
第一章 緒論…………………………………………… 1
1.1 微波滅蟲實驗介紹……………………………… 1
1.2 Flir Tau2 紅外熱成像系統介紹……………… 1
1.3 Flir Tau2 紅外熱成像系統在微波滅蟲實驗中輸出數據處理介紹… 1
第二章 研究方法介紹………………………………… 4
2.1 圖像降噪算法……………………………………… 4
2.2圖像二值化算法…………………………………… 8
第三章 數據處理分析………………………………… 11
3.1 不同降噪算法下的結果比較………………… 11
3.2 不同二值化算法下的結果比較……………… 16
3.3 二值化算法評價及運用建議………………… 19
3.4 溫度場數據的處理……………………………… 22
第四章 實驗數據處理流程及應用建議………… 26
4.1 實驗數據處理流程……………………………… 26
4.2 應用建議…………………………………………… 27
參考文獻………………………………………………… 28
附錄A……………………………………………………… 30
附錄B……………………………………………………… 31
附錄C……………………………………………………… 32
附錄D……………………………………………………… 34
附錄E……………………………………………………… 36
[1] Davis, J. H. 1934. High frequency method of and apparatus for exterminating insect life in seed or grain or other materials.U.S. Patent No. 1,972,050.
[2]Schwan, H. P. 1972. Microwave radiation: Biophysical considerations and standards criteria. IEEE Trans. Biomed.Eng.BME-19(4):304-312
[3]Stuchly, M. A. 1979. Interaction of radiofrequency and microwave radiation with living systems - A review of mechanisms. Rad.and Environm. Biophys. 16:1 -14.
[4]Kraszewski, A. 1988. Moisture monitoring of moisture content in grain—^further considerations. /. Microwave Power Electromag. Energy 23(4): 236-246
[5] “Tau Camera Link Module Operation and Modification Application Note”FLIR Commercial Systems Document Number: 102-PS242-100-02 Version: 100 Issue Date: October 2011
[6] “ Tau LWIR Video Camera Quick Start Guide” FLIR Commercial Systems Document Number: 102-PS242-01 Version: 100 Issue Date: October 2011
[7] Philippe Cattin (2012-04-24). "Image Restoration: Introduction to Signal and Image Processing". MIAC, University of Basel. Retrieved 11 October 2013.
[8] Tudor Barbu (2013). "Variational Image Denoising Approach with Diffusion Porous Media Flow". Abstract and Applied Analysis. 2013: 8. doi:10.1155/2013/856876
[9] Robert Fisher; Simon Perkins; Ashley Walker; Erik Wolfart. "Image Synthesis — Noise Generation". Retrieved 11 October 2013.
[10] Jayaraman; et al. (2009). Digital Image Processing. Tata McGraw Hill Education. p. 272. ISBN 9781259081439.
[11] Rosin, Paul; Collomosse, John (2012). Image and Video-Based Artistic Stylisation. Springer. p. 92. ISBN 9781447145196.
[12] Proakis, John G., Digital Communications, Third edition, New York, McGraw Hill, 1995.
[14] A. Bovik, Handbook of Image and Video Processing. New York: Academic, 2000.
[15]T. S. Huang, G. J. Yang, and G. Y. Tang, “Fast two-dimensional median filtering algorithm,” IEEE Trans. Acoustics, Speech, Signal Process., vol. ASSP-1, no. 1, pp. 13–18, Jan. 1979.
[16] H. Hwang and R. A. Haddad, “Adaptive median filters: New algorithms and results,” IEEE Trans. Image Process., vol. 4, no. 4, pp. 499–502, Apr. 1995.
[17] T. Chen and H. R. Wu, “Space variant median filters for the restoration of impulse noise corrupted images,” IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol. 48, no. 8, pp. 784–789, Aug. 2001.
[18] H.-L. Eng and K.-K. Ma, “Noise adaptive soft-switching median filter,” IEEE Trans. Image Process., vol. 10, no. 2, pp. 242–251, Feb. 2001.
[19] G. Pok, J.-C. Liu, and A. S. Nair, “Selective removal of impulse noise based on homogeneity level information,” IEEE Trans. Image Process., vol. 12, no. 1, pp. 85–92, Jan. 2003.
[20] T. Huang, G. Yang, and G. Tang, "A fast two-dimensional median filtering algorithm", IEEE Trans. Acoust., Speech, Signal Processing, vol. 27, no. 1, pp. 13–18, 1979. [21] Mehmet Sezgin and Bulent Sankur, Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging 13(1), 146–165 (January 2004). [22] Zhang, Y. (2011). "Optimal multi-level Thresholding based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach". Entropy. 13 (4): 841–859.
[23] J. M. S. Prewitt and M. L. Mendelsohn, "The analysis of cell images," innnals of the New York Academy of Sciences, vol. 128, pp. 1035-1053, 1966.
[24] C. A. Glasbey, "An analysis of histogram-based thresholding algorithms," CVGIP: Graphical Models and Image Processing, vol. 55, pp. 532-537, 1993. [25] Nobuyuki Otsu. A threshold selection method from gray-level histograms. IEEE Trans. Sys., Man., Cyber. 1979, 9 (1): 62–66.
[26] Huynh-Thu, Q.; Ghanbari, M. (2008). "Scope of validity of PSNR in image/video quality assessment". Electronics Letters. 44 (13): 800.
[27] Thomos, N., Boulgouris, N. V., & Strintzis, M. G. (2006, January). Optimized Transmission of JPEG2000 Streams Over Wireless Channels. IEEE Transactions on Image Processing , 15 (1).
[28] Xiangjun, L., & Jianfei, C. Robust transmission of JPEG2000 encoded images over packet loss channels. ICME 2007 (pp. 947-950). School of Computer Engineering, Nanyang Technological University.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top