Title :
Automatic object extraction based on quantum mechanics
Author :
Aytekin, Caglar ; Kiranyaz, Serkan ; Gabbouj, Moncef
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey
Abstract :
In this wok, an automatic object extraction method is proposed exploiting the rich mathematical structure of quantum mechanics. First, a novel segmentation method based on the solutions of Schrödinger´s equation is proposed. Due to the large amount of segments extracted with the proposed method, the selection of the object segment is performed by maximizing a regularization energy function based on a formerly proposed edge detection algorithm indicating the object boundaries. The results of the proposed automatic object extraction method, exhibits such promising accuracy that pushes the frontier in this field to the borders of input-driven processing only.
Keywords :
Schrodinger equation; edge detection; feature extraction; image segmentation; quantum computing; quantum theory; Schrodinger equation; automatic object extraction; edge detection algorithm; image segmentation; mathematical structure; object boundary; object segment selection; quantum mechanics; regularization energy function; segment extraction; Computer vision; Image edge detection; Image segmentation; Pattern analysis; Pattern recognition; Quantum mechanics; Signal processing algorithms; Object extraction; Schrödinger´s equation; image segmentation; quantum mechanics;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531207