1.APHA, AWWA and WPCF. (1998). “ Standard method for the examination of water and wastewater ”. 20th ed., Method 2120, Am. Public Health Assoc., Washington D. C.
2.Alsdair McAndrew, An Introduction to Digital Image Processing with MATLAB, Brooks Cole, 2004.
3.Da-Hong Li and Jerzy J. Ganczarczyk, Stroboscopic deter mination of settling velocity, size and porosity of activated sludge flocs, Wat. Res. Vol. 21, No. 3, pp. 257-262,(1987).
4.Do mingo Mery, Franco Pedreschi, Segmentation of colour food images using a robust algorithm, Journal of Food Engineering. Vol. 66, pp. 353–360,(2005).
5.Ebie, K., Yamaguchi, D., Hoshikawa, H., Shirozu, T. (2006). “ New measurement principle and basic performance of high-sensitivity turbidimeter with two optical systems in series ”. Water research. 40, 683-691.
6.Gonzalez, R. C. and Woods, R. E. (2002). “ Digital Image Processing ”. 2nd edition, Addison-Wesley, New York, NY, USA.
7.Koen Grijspeerdt and Willy Verstraete, Image analysis to estimate the settleability and concentration of activated sludge, Wat. Res. Vol. 31, No. 5, pp. 1126-1134,(1997).
8.Kwan, A. K. H., Mora, C. F. and Chan, H. C. (1999). “ Particle shape analysis of coarse aggregate using digital image processing ”. Cement and Concrete research, 29, 1403-1410.
9.Louis J. Galbiati, Jr., Machine vision and digital image processing fundamentals, Prentice Hall, 1990.
10.Li, Y., Lau, S.L., Kayhanian, M. and Stenstrom, Michael K. (2005) “ Particle size distribution in highway runoff ”. ASCE, 131, 1267-1276.
11.Nazar, A. M., Silva, F. A., Ammann, J. J. (1996). “ Image processing for particle characterization ”. Materials characterizeation, 36, 165-173.
12.Wettimuny, R. and Penumadu, D. (2004). “ Application of Fourier Analysis to Digital Imaging for Particle Shape Analysis ”. ASCE, 18, 2-9.
13.Yu, R. F., Cheng W. P., Chu, M. L. and Huang, C. H. (2004). “Calibration of the ADMI 3 with 31 WL true color values using the artificial neural network”. Proceeding of the IWA 2nd International Conference on Automation in Water Quality Monitoring, Vienna, Austria, 19-20, 333-338.
14.Yu, R. F., Cheng W. P. and Chu, M. L. (2005). “On-line Monitoring of Wastewater True Color Using Digital Image Analysis and Artificial Neural Network ”. Journal of Environmental Engineering, ASCE, 131(1), 71-79.
15.繆紹剛,數位影像處理,全華科技圖書股份有限公司,2000。
16.陳偉銘、趙涵捷,影像裡的數學世界,臺灣書店,2001。
17.鍾國亮,影像處理與電腦視覺,東華書局,2002。
18.葉怡成,類神經網路模式應用與實作,儒林圖書有限公司,2002。
19.張斐章、張麗秋,類神經網路,台灣東華書局股份有限公司,2006。
20.余松煜、周源華、吳時光,數位影像處理,1993。
21.林仲芬,影像辨認技術,全華科技圖書股份有限公司,1995。
22.顏睿余,高性能DSP Based影像擷取辨識系統,碩士論文,中正大學電機工程學系,2002。23.朱美玲,應用數位影像技術於廢水懸浮固體辨識與沉降特性分析之研究,碩士論文,國立聯合大學環境與安全衛生工程學系,2006。24.陳俞蓁,混凝對表面水濁度去除之研究,碩士論文,國立成功大學環境工程學系,200225.劉嘉宏,混凝劑種類對低濁度原水混凝影響之研究,碩士論文,國立成功大學環境工程學系,2007