Paper
27 March 2009 A statistical approach to contour extraction based on quantum mechanics
Author Affiliations +
Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72594N (2009) https://doi.org/10.1117/12.811539
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Contour extraction is a key issue in many medical applications. A novel statistical approach based on quantum mechanics to extract contour of the interested object of medical images was proposed in this paper. The natures of quantum statistical concepts such as the quantum discontinuity and the wave function correspond to the discrete and gray possibility of an image respectively. Contour extraction will be performed by the quantum particle movement, where the particle will be moved forward to the position with high probability density edges in image potential field. Experimental results with medical images demonstrated that the proposed approach has the capability to extract contours with arbitrary initialization and handle topology changes as well as both the inner and outer contours by a single initialization. Keywords: Statistical approach, contour extraction, path integral, quantum mechanics.ing
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yangguang Sun, Tian Lan, Xiaowei Fu, and Mingyue Ding "A statistical approach to contour extraction based on quantum mechanics", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72594N (27 March 2009); https://doi.org/10.1117/12.811539
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KEYWORDS
Particles

Medical imaging

Quantum mechanics

Mechanics

Polymers

Quantum information

Monte Carlo methods

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