|
Volume : III, Issue : IX, October - 2013 Segmentation Analysis Of Optical Coherent Tomography Image By Statistical Methods Mohandass G And R Ananda Natarajan Published By : Laxmi Book Publication Abstract : Optical coherent tomography image is an effective and efficient in diagnosis procedure in the retina. The challenge in OCT image is to detect retinal layers. Here, detection process in retina layers is a primary objective, such that, different existing segmentation methods is studied and analysed. For quality based analysis of the existing methods, the standard Statistical techniques are applied in output image. The result from the statistical techniques gives the relation of linear and similar methods, so that, narrow the objective by deriving and formulate a new procedure to evaluate this problem in segmentation of retinal Layers in OCTimage.
Keywords : Article : Cite This Article : Mohandass G And R Ananda Natarajan, (2013). Segmentation Analysis Of Optical Coherent Tomography Image By Statistical Methods. Indian Streams Research Journal, Vol. III, Issue. IX, http://oldisrj.lbp.world/UploadedData/3174.pdf References : - Sankur B., Sezginb M. Image Thresholding Techniques: a Survey over Categories. Journal of Electronic Imaging, vol. 13(1), pp. 146-165, 2004.
- C.K. Leung, F.K. Lam, “Performance analysis of a class of iterative image thresholding algorithms”, Pattern Recognition, 29(9) 1523-1530, 1996.
- Mehmet Sezgin, BulentSankur, "Survey over image thresholding techniques and quantitative performance evaluation", Journal of Electronic Imaging, 13(1), 146–165 Jan. 2004.
- J.N. Kapur, P.K. Sahoo, A.K.C. Wong, “A New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram,” Graphical Models and Image Processing, 29 (1985) 273-285.
|
Article Post Production
Article Indexed In
|