Öz
A new method is proposed to detect the location of protozoa using edge extractor and Artificial Neural Networks (ANN). In this method, pre-processing is applied to the activated sludge images. ANN is classified with seven parameters that contain general features of protozoa. The features are obtained from properties of each region after applying edge extractor. Morphological operations are applied to obtain protozoa as a whole. A system has been developed to decide the regions of protozoa using the morphological procedure after ANN process. If the determined regions are not elliptical or circular areas, the regions are expanded according to the characteristics of them. Expansion direction is found by the orientation angle of the region. Accordingly, if it is required, the starting point can be changed. Then, active contour method is applied to the regions in which the exact location can not be determined. It is important to find the correct boundaries of the object and the first mask place should be chosen correctly. To do this, the convex area of the image is used. So, the initial mask is obtained automatically. Then, the obtained regions are evaluated again at the decision stage and protozoa are detected.
Anahtar Kelimeler
Activated Sludge Protozoa Detection Image Analysis Active Contour Artificial Neural Networks.
Kaynakça
- Lin, S. D., Lee, C. C. “Water and wastewater calculations manual”, Mcgraw-hill, 2007.
- Dağ, C.M. “Environmental Engineering Applications”, Chamber of Environmental Engineers, 2002.
- Şakar S., “Environmental Microbiology-II”, Yildiz Technical University, Department of Environmental Engineering, Lecture Notes, İstanbul, 2009.
- Caselles, V., Kimmel, R., & Sapiro, G. “Geodesic active contours”, International Journal of Computer Vision, Vol. 22, No: 1, pp. 61-79, 1997.
- Ernst, B., Neser, S., O’Brien, E., Hoeger, S. J., & Dietrich, D. R., “Determination of the filamentous cyanobacteria Planktothrix rubescens in environmental water samples using an image processing system” Harmful Algae, Vol: 5, No: 3, pp. 281–289, 2006.
- Liwarska-Bizukojc, Ewa. "Application of image analysis techniques in activated sludge wastewater treatment processes." Biotechnology letters, Vol: 27, No:19, pp. 14271433, 2005.
- Jenne, R., Banadda, E. N., Smets, I., Deurinck, J., & Van Impe, J. “Detection of filamentous bulking problems: Number of Regions ANN Decision Active Contour Non Protozoa Candidate Regions Protozoa Active Contour Protozoa Non Protozoa 200 148 52 19 12 10 1
Öz
Kaynakça
- Lin, S. D., Lee, C. C. “Water and wastewater calculations manual”, Mcgraw-hill, 2007.
- Dağ, C.M. “Environmental Engineering Applications”, Chamber of Environmental Engineers, 2002.
- Şakar S., “Environmental Microbiology-II”, Yildiz Technical University, Department of Environmental Engineering, Lecture Notes, İstanbul, 2009.
- Caselles, V., Kimmel, R., & Sapiro, G. “Geodesic active contours”, International Journal of Computer Vision, Vol. 22, No: 1, pp. 61-79, 1997.
- Ernst, B., Neser, S., O’Brien, E., Hoeger, S. J., & Dietrich, D. R., “Determination of the filamentous cyanobacteria Planktothrix rubescens in environmental water samples using an image processing system” Harmful Algae, Vol: 5, No: 3, pp. 281–289, 2006.
- Liwarska-Bizukojc, Ewa. "Application of image analysis techniques in activated sludge wastewater treatment processes." Biotechnology letters, Vol: 27, No:19, pp. 14271433, 2005.
- Jenne, R., Banadda, E. N., Smets, I., Deurinck, J., & Van Impe, J. “Detection of filamentous bulking problems: Number of Regions ANN Decision Active Contour Non Protozoa Candidate Regions Protozoa Active Contour Protozoa Non Protozoa 200 148 52 19 12 10 1
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Bölüm | Makaleler |
| Yazarlar | |
| Yayımlanma Tarihi | 25 Aralık 2013 |
| Yayımlandığı Sayı | Yıl 2013 Cilt: 13 Sayı: 2 |