A statistical mechanics approach to digital image processing: Image enhancement
作者:
R. Aldave‐Matar,
M. Ley‐Koo,
期刊:
Journal of Applied Physics
(AIP Available online 1996)
卷期:
Volume 79,
issue 12
页码: 8930-8935
ISSN:0021-8979
年代: 1996
DOI:10.1063/1.362617
出版商: AIP
数据来源: AIP
摘要:
An algorithm for the enhancement of digital images is described. The algorithm is based upon the analogy that may exist between the description of a macroscopic system composed of many particles, and a digital image composed of many pixels. The analogy assumes that the intensity in a digital image fluctuates, so that the algorithm takes into account that fluctuations must decrease to a minimum in such a way that an enhanced image may be thought of as an image in an equilibrium state, leading to a quantitative criterion to stop the enhancement process. This may be taken as the starting point of a computer aided vision system, the next step being the image segmentation leading to the identification of the various patterns forming the image and which is described in a forthcoming paper. ©1996 American Institute of Physics.
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