Computational Approach to Count Bacterial Colonies

Research involving bacterial pathogens often requires enumeration of bacteria colonies. Bacterial colony enumeration is an essential tool for many widely used biomedical assays. Bacterial colony enumerating is a low throughput, time consuming and labor intensive process. Since there might exist hundreds or thousands of colonies on a Petri dish, and the counting process is often manually performed by well-trained technicians .There are several methods for enumeration of bacterial colonies. An increased area of focus in Microbiology is the automation of counting methods. An increased area of focus in Microbiology is the automation of counting methods. Several obstacles need to be addressed for methods that count colonies present. These obstacles include: how to handle confluent growth or growth of colonies that touch or overlap other colonies, how to identify each colony as a unit in spite of differing shapes, sizes, textures, colors, light intensities ,etc. This method is designed to provide a degree of accuracy in counting. A colony counter is used to count colonies of bacteria or other microorganisms growing on an agar plate. This method is used to overcome these obstacles are thresholding, segmentation, time domain frequency, Watersheding, edge detection and morphology operator, regional descriptors etc.. This method provides high degree of accuracy. Our proposed counter has a promising performance in terms of both precision and recall, and is flexible and efficient in terms of laborand time-savings.