Contrast enhancement of optical coherence tomography images using least squares fitting and histogram matching

A method of contrast enhancement of optical coherence tomography (OCT) images based on least squares fitting and histogram matching is presented. Several different functions are adopted as the probability density functions of the gray levels to fit the normalized histogram of an OCT image and histog...

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Bibliographic Details
Published inOptics communications Vol. 279; no. 1; pp. 23 - 26
Main Authors Liu, Yiheng, Liang, Yanmei, Tong, Zhengrong, Zhu, Xiaonong, Mu, Guoguang
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.11.2007
Elsevier Science
Subjects
Contrast enhancement
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Histogram matching
Image reconstruction; tomography
Imaging and optical processing
Optical coherence tomography
Optics
Physics
Optical coherence tomography
Histogram matching
Contrast enhancement
Image quality
Histogram
Grey level image
Probability density function
Signal-to-noise ratio
Experimental study
Optical coherent tomopgraphy
Image contrast
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Summary:A method of contrast enhancement of optical coherence tomography (OCT) images based on least squares fitting and histogram matching is presented. Several different functions are adopted as the probability density functions of the gray levels to fit the normalized histogram of an OCT image and histogram matching is used to enhance the OCT image automatically. The effectiveness of the method is proved by the experimental results.
ISSN:0030-4018
1873-0310
DOI:10.1016/j.optcom.2007.07.003