Image Processing Based Bacterial Colony Counter

Authors(2) :-Bhavika Jagga, Dr. Dilbag Singh

Enumeration of Bacterial Colonies is required in many fields such as in clinical diagnosis, biomedical research for prevention of harmful diseases and pharmaceutical industry to avoid contamination of products. Existing Bacterial Colony counter systems count Bacterial Colony manually which is a time consuming, less efficient and tedious process. Hence, automation for counting of bacterial colony was required. The proposed method count these colonies automatically using image processing techniques. This method will provide a greater degree of accuracy in counting of bacterial colonies. Proposed technique takes an image of bacterial colony and converts it into grayscale. Otsu thresholding is applied for segmentation of the image further its conversion into binary image. After that, morphological operations are applied to clean up the image by removing noise and unnecessary pixels. Distance and watershed transformations are applied on the binary image to create partitions among overlapped and joint bacteria. Region properties and labeling information of segmented image is used for counting of bacterial colony.

Authors and Affiliations

Bhavika Jagga
Department of Computer Science and Applications, Chaudhary Devi Lal University, Sirsa, Haryana, India
Dr. Dilbag Singh
Department of Computer Science and Applications, Chaudhary Devi Lal University, Sirsa, Haryana, India

Bacterial Colony, Thresholding, Morphology, Distance Transform and Watershed Segmentation.

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 97-101
Manuscript Number : CSEIT183116
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Bhavika Jagga, Dr. Dilbag Singh, "Image Processing Based Bacterial Colony Counter", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.97-101, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT183116

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