Laser & Optoelectronics Progress, Volume. 48, Issue 1, 11701(2011)
Texture Analysis for Information Extraction and Feature Recognition in Optical Coherence Tomography Images
With the development of the optical coherence tomography (OCT) in the field of bio-medical imaging, computer-aided medical diagnosis and treatment effectiveness evaluation by means of the relevant tissue features reflected in the OCT image, has attracted much attention. Among methods aimed at the information extraction and feature recognition in OCT images, texture analysis has already been covered thoroughly and showed a good feasibility. In this paper, we concentrate on the characteristics and applications of various texture analysis methods, followed by the existing problems and possible solutions.
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Liang Yanmei, Zhang Shu. Texture Analysis for Information Extraction and Feature Recognition in Optical Coherence Tomography Images[J]. Laser & Optoelectronics Progress, 2011, 48(1): 11701
Category: Reviews
Received: Apr. 7, 2010
Accepted: --
Published Online: Dec. 13, 2010
The Author Email: Yanmei Liang (ymliang@nankai.edu.cn)