A method for identification of irregular objects under noisy conditions
by Sándor Molnár; Péter Klinkó; István Szabó
International Journal of System of Systems Engineering (IJSSE), Vol. 3, No. 1, 2012

Abstract: In the present paper, we propose a method of detecting amorphously shaped objects in real-time ultrasonic images when high level of noise is present. In general, noisy imaging environment can lead to faulty object segmentation. Shape recognition algorithms can give ambiguous results even for detecting objects with permanent shapes. From prior knowledge, indexed object templates are introduced that are aimed to incorporate the most relevant object.

Online publication date: Sat, 16-Aug-2014

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