IJPAM: Volume 61, No. 1 (2010)

DETECTING AMOURPHOUSLY SHAPED OBJECTS
IN A NOISY IMAGING ENVIRONMENT

Sándor Molnár$^1$, Péter Klinkó$^2$
$^{1,2}$Department of Informatics
Faculty of Mechanical Engineering
St. István University
Gödöllö, 2103, HUNGARY
$^1$e-mail: [email protected]
$^2$e-mail: [email protected]


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.

Received: December 14, 2009

AMS Subject Classification: 68T10, 68U10

Key Words and Phrases: shape detection, pattern recognition, segmentation

Source: International Journal of Pure and Applied Mathematics
ISSN: 1311-8080
Year: 2010
Volume: 61
Issue: 1