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Automatic reading and interpretation of an antibiogram

Nowadays, the reading and interpretation of antibiogram tests is a frequently performed task by doctors, researchers and technicians at hospitals and laboratories. An antibiogram is a test of the sensitivity of a microorganism to given antibiotics. Reading an interpretation of the antibiogram results is usually performed manually, which leads to human errors and a great waste of time. There are few automated devices that reads and interprets antibiograms but they are expensive and costly to run. This paper aimed to present a prototype that reads and interprets antibiograms. In this paper, we show the algorithm of detection and interpretation using the recent image processing techniques. The two principle techniques used for circles detection are the Circular Hough Transform (CHT) and the Pixel Value Checking (PVC).