NDLI: A dynamic threshold segmentation algorithm for anterior chamber OCT images based on wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	Wenliang Du Xiaolin Tian Yankui Sun
Copyright Year	2012
Description	Author affiliation: Department of Computer Science and Technology, Tsinghua University, Beijing, China (Yankui Sun) \|\| Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macao SAR (Wenliang Du; Xiaolin Tian)
Abstract	In this paper, a dynamic threshold segmentation (DTS) algorithm based on wavelet transform is presented for anterior chamber Optical Coherence Tomography (OCT) images. This algorithm can reduce the speckle noise while preserve the edge of region of interest (ROI) which is anterior chamber in OCT images. Therefore it defines two thresholds, one of which is used to determine a ROI as the region of interest discrimination threshold (ROIDT), the other, defined as the noise threshold (NT), is to reduce noise from the region of interest which is gotten by the ROIDT. For better denoise effect, basic mathematical morphology and median filtering have been used to do further reduction on the segmented image and the Kirsch edge detection operator is selected to detect the edge of anterior chamber OCT image which has been denoised. To evaluate this proposed algorithm, the results are compared with two noise reduction methods, which are traditional Otsu algorithm and wavelet filtering. Experimental results show that the algorithm proposed can preserve more details while eliminating noise for edge detection of OCT images.
Starting Page	279
Ending Page	282
File Size	1322982
Page Count	4
File Format	PDF
ISBN	9781467309653
e-ISBN	9781467309646
DOI	10.1109/CISP.2012.6469721
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Image segmentation Image edge detection Heuristic algorithms Noise wavelet transform region of interest two-dimensional discrete wavelet transform Speckle anterior chamber OCT images dynamic threshold segmentation
Content Type	Text
Resource Type	Article

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