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Edge linking and image segmentation by combining optical and digital methods
Authors:Jorge L Flores  Gastón A Ayubi  Julia R Alonso  Ariel Fernández  J Matías Di Martino  José A Ferrari
Institution:1. Electronic Engineering Department, University of Guadalajara, Av. Revolución #1500, CP. 44840, Guadalajara, Jal., Mexico;2. Instituto de Física, Facultad de Ingeniería, J. Herrera y Reissig 565, 11300 Montevideo, Uruguay
Abstract:We present a hybrid method for segmentation of intensity images, which combines an optical contouring technique and digital algorithms for linking edge points or image segmentation. In a first stage, the digital image to be processed is displayed in a twisted-nematic liquid-crystal display (LCD), which is placed between a polarizer–analyzer pair at 45 deg (instead of 90 deg as occurs in standard LCDs). It is not difficult to demonstrate that the proposed setup produces a resultant image with very pronounced dark contours at middle intensity. After the optical preprocessing, two different digital algorithms are applied: an edge linking algorithm (modified chain code) and a simple thresholding technique for image segmentation. The proposed procedure works well with monochromatic and color images. The method could be useful as a robust technique for segmentation of large images in real-time, which presents potential applications in medical and biological imaging.
Keywords:Optical information and image processing  Image processing and restoration
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