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A Self-Adaptive High/Low Beam Spotlight Filter in Capturing Local Structure Information for Object Contour Extraction
Roy Chaoming Hsu, Chia Hung Hsu
Pages - 29 - 44     |    Revised - 31-05-2022     |    Published - 30-06-2022
Volume - 16   Issue - 2    |    Publication Date - June 2022  Table of Contents
Contour Extraction, Local Structure Information, Spotlight Filter.
Contour extraction is a method in exactly obtaining an object’s contour from images. It is considered as one of the most important pre-processing for image processing applications. In this study, a self-adaptive high/low beam spotlight filter (SAHLBSF) is designed to capture local structure information for object contour extraction. The proposed SAHLBSF is inspired from the users’ experiences in car driving, where when the road is very straight and clear, a low beam light is applied, while a high beam light will be utilized when the road is winding and/or the environment is dark. Utilizing the SAHLBSF, the local structural information between two preselected initial contour points are captured and the candidate contour points are then determined. The spotlight filter continues for all pairs of initial points of an object such that a broadband of the object’s contour is constructed. A thinning process is then applied to obtain the final one-pixelwide exact object contour. Experimental results using artificial and real medical images showed that better contour extraction performance can be obtained the proposed SAHLBSF than other existing methods.
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Professor Roy Chaoming Hsu
Electrical Engineering Department, National Chiayi University, Chiayi City, 600355 - Taiwan
Mr. Chia Hung Hsu
Atenlab, Neihui District, Taipei City - Taiwan

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