Abstract
This article deals with evaluation of suitability of interest point detectors (specifically corner detectors) for utilization in ultrasound image processing. Namely, the Harris detector, FAST (Features from Accelerated Segment Test) detector and Kanade-Lucas-Tomasi (KLT) detector have been tested on two data sets of ultrasound (US) images. The evaluation process consists of three experiments in which the images have been artificially corrupted by different types of noise or their brightness has been uniformly changed. The FAST detector proved to be more robust against noise than Harris and KLT detectors whereas the Harris and KLT detector outperformed FAST detector in case of brightness change.
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