@article{MAKHILLJEAS2019141918494,
    title = {An Accurate Computational Analysis Technique for Bacterial Colonies Counting},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {19},
    pages = {7138-7141},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.7138.7141},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.7138.7141},
    author = {Sanaa},
    keywords = {Bacterial colonies,auto-counting,digital image analysis,YCbCr color image,technique,applications},
    abstract = {Bacterial colony counting is one of the fundamental approaches utilized in microbiology for
quantifying and isolating various sets of microorganisms. Until now, in most laboratories, the process of
counting is achieved manually and this process is very exhausted and consumes time. In this study, an accurate
technique based on digital image analysis is proposed for auto-counting of the bacterial colony with minimal
time and effort. The results show better reliability by containing the obtained measurements of counting
comparing with the manual counting with a total average error equal to 1.22%. The proposed technique
outperforms the other traditional techniques, giving a hopeful technique for several related applications.}
    }