Title :
Synthesis and analysis of afficiency of algorithm for objects edges detection by maximum likelihood method
Author :
Alexandr, Parshin ; Yury, Parshin
Author_Institution :
Radio Devices Dept., Ryazan State Radio Eng. Univ. (RSREU), Ryazan, Russia
Abstract :
Edge detection algorithm, which takes into account difference in fractal dimensions of object and background, is synthesized by maximum likelihood method. Adaptive algorithm of edge detection is proposed under a priori uncertainty of fractal dimensions values. This algorithm contains correlation dimension estimates which have been evaluated in terms of observable data. Efficiency comparison of different versions of image data reading for different objects edge position regarding reading direction is made. Algorithm analysis is carried out under complete and incomplete a priori information.
Keywords :
correlation methods; edge detection; fractals; maximum likelihood estimation; object detection; adaptive edge detection algorithm; algorithm efficiency analysis; background fractal dimensions; correlation dimension estimation; fractal dimensions values; image data reading; maximum likelihood method; object edge detection algorithm; object edge position; object fractal dimensions; Adaptation models; Algorithm design and analysis; Chaos; Image edge detection; Uncertainty; a priori uncertainty; fractal dimension; integration of algorithms; maximum likelihood method; object edge detection;
Conference_Titel :
Embedded Computing (MECO), 2013 2nd Mediterranean Conference on
Conference_Location :
Budva
DOI :
10.1109/MECO.2013.6601363
