DocumentCode :
3352576
Title :
Counting method of heterotrophic bacteria based on image processing
Author :
Men, Hong ; Wu, Yujie ; Li, Xiaoying ; Kou, Zhen ; Yang, Shanrang
Author_Institution :
Sch. of Autom. Eng., Northeast Dianli Univ., Jilin
fYear :
2008
fDate :
21-24 Sept. 2008
Firstpage :
1238
Lastpage :
1241
Abstract :
Heterotrophic bacteria is detected and counted by National Standard Method of China at present, i.e. flat dish numberation, which has the disadvantages of subjectivity, big error and low efficiency because of relying on manual counting. A method of rapid determination of heterotrophic bacteria in industrial cooling water is developed. After converting the original image into a greyscale one, we removed the edge image of culture dish on the basis of the principle that three unco-linear points can determine a circle. Then binarization with the greyscale-weighted threshold method, distance transform and watershed algorithm to segment overlapping colonies are applied, and finally four-connected searching algorithm was used to mark and count the colony. It has been proved that the method greatly improves the accuracy and efficiency of the heterotrophic bacteria counting and the counting results are not affected by shapes or sizes of the colony. It has been revealed that colony counting based on image processing method can be an effective way.
Keywords :
computer vision; environmental science computing; water treatment; binarization; distance transform; greyscale-weighted threshold method; heterotrophic bacteria; image processing; industrial cooling water; overlapping colonies; searching algorithm; watershed algorithm; Bars; Cooling; Image analysis; Image converters; Image processing; Image segmentation; Microorganisms; Production; Resistance heating; Shape; Biofouling; colony counting; heterotrophic bacteria; image processing; threshold segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
Type :
conf
DOI :
10.1109/ICCIS.2008.4670959
Filename :
4670959
Link To Document :
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