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http://dx.doi.org/10.5391/JKIIS.2015.25.1.078

Boundary Depth Estimation Using Hough Transform and Focus Measure  

Kwon, Dae-Sun (College of Electrical and Computer Engineering, Chungbuk National University)
Lee, Dae-Jong (College of Electrical and Computer Engineering, Chungbuk National University)
Chun, Myung-Geun (College of Electrical and Computer Engineering, Chungbuk National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.25, no.1, 2015 , pp. 78-84 More about this Journal
Abstract
Depth estimation is often required for robot vision, 3D modeling, and motion control. Previous method is based on the focus measures which are calculated for a series of image by a single camera at different distance between and object. This method, however, has disadvantage of taking a long time for calculating the focus measure since the mask operation is performed for every pixel in the image. In this paper, we estimates the depth by using the focus measure of the boundary pixels located between the objects in order to minimize the depth estimate time. To detect the boundary of an object consisting of a straight line and a circle, we use the Hough transform and estimate the depth by using the focus measure. We performed various experiments for PCB images and obtained more effective depth estimation results than previous ones.
Keywords
Depth estimation; Focus measures; Hough transform; Digital Image processing;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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