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Automation of Antimicrobial Susceptibility Test (AST) for faster results and the cheaper cost is gaining importance for effective medical diagnosis. Among all the available methods for AST, disk diffusion is the cheaper one, requires less skill, and it is applicable for telemetry. The diameters of the Inhibition zones are calculated using image processing and computer vision techniques to provide easy and automated data for further processing, however, the result of a particular antibiotic is Susceptible (S), Intermediate (I), or resistance (R). In this paper, the agar plate images, which were prepared for the AST, have been taken with 23 antibiotics and 12 bacteria and the image bank of about 170 images with 513 inhibition zones has been developed. For the diameter calculation of the inhibition zones, four methods are developed. In the first method, the diameter is calculated using the watershed segmentation method which requires manual interference, in the second method, modified edge detection is used instead of edge detection in the watershed segmentation, in the third method a semi-automatic method is developed using segmentation with active contours, and in the fourth one, an automatic method is used based on the fuzzy clustering along with Level set methods (FCLSM). The evaluation is done using kappa and correlation indices. The results show that these methods are giving better results within the tolerable limits for automation. In this paper, the same agar plate image with 11 antibiotics is taken to compare developed methods with the manual method and satisfying results are obtained.

Automatic Inhibition Zone Diameter Measurement for Disc Diffusion Test Using Image Segmentation