An automated threshold Edge Drawing algorithm
Ciprian Orhei, Muguras Mocofan, Silviu Vert, Radu Vasiu
TL;DR
This paper introduces an automated threshold selection method for the Edge Drawing edge detection algorithm, improving edge-map quality across various first order operators through visual and statistical validation.
Contribution
It presents a novel automated thresholding approach integrated into Edge Drawing, enhancing parameter selection and edge detection performance.
Findings
Automated thresholding improves edge detection quality.
The method is effective across different first order operators.
Statistical results confirm the benefits of automation.
Abstract
Parameter choosing in classical edge detection algorithms can be a costly and complex task. Choosing the correct parameters can improve considerably the resulting edge-map. In this paper we present a version of Edge Drawing algorithm in which we include an automated threshold choosing step. To better highlight the effect of this additional step we use different first order operators in the algorithm. Visual and statistical results are presented to sustain the benefits of the proposed automated threshold scheme.
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