A robust line detection method using unit gradient vectors

Name: Chhor, Vey Hong

keyword: Line detection

; Illumination-invariant

; Hough transform

; Gray-scale hough transform

Abstract: In this thesis, we present a robust line detection method by using unit gradient vectors (UGVs). The proposed method comprises two parts. Robust edge detection is performed using UGVs in the first part. Since UGVs are a feature that is essentially invariant to varying lighting condition, edge can be detected regardless of various image contrasts even within the same image. We then employ a gray-scale version of Hough transform (GHT) as the second part. The benefit of using the GHT is that we do not need to adjust a threshold value to detect the edges. In the case of the UGVs based edge detection, peaks in Hough space largely depend on the lengths of the lines. Thus, we can easily set up a proper threshold value in Hough space. Simulation results show that the proposed method can detect lines successfully even in an image captured under the non-uniform illumination

Thammasat University. Thammasat University Library

Address: BANGKOK

Email: preserv@tu.ac.th

Name: Kondo, Toshiaki

Role: advisor

Created: 2014

Modified: 2021-12-29

Issued: 2021-12-29

วิทยานิพนธ์/Thesis

application/pdf

DOI: 10.14457/TU.the.2014.50

eng

DegreeName: Master of Science

Level: Master's Degree

Descipline: Engineering Technology

Grantor: Thammasat University

©copyrights Thammasat University

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