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16th International Conference on Virology, Emerging Diseases & vaccines

Vancouver, Canada

Mangala Shetty

Assistant Professor,NMAM Institute of Technology

Title: Study on Automated Method of Bacteria Image Identification and Classification Using Image Analysis”
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Biography: Mangala Shetty


At present many of the analyzes of biological and microbiological data need a significant amount of human involvement. Manual techniques are focused on subjective human perception, are susceptible to considerable variation among human expertise and are time intensive and expensive. Automatic tools are therefore essential to achieve objective and iterative analysis, precise quantitative assessments . A great abundance of bacterial life was exposed using the scanning electron microscope ( SEM). SEM images of lactic acid bacteria (LAB) are used in the experiment. The image analysis and classification technique is quick and simple to classify organisms based on their morphological characteristics. The classification results indicate that the proposed methodology is less expensive and it provided results of 81% to 99% with KNN, and with SVM classification hitting 75% to 80% and 98% to 99% with the CNN classifier. The suggested technique could also be effectively incorporated into resources to assist biologists and clinicians in their analytical processes and to incorporate automated diagnostic systems.

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