Line detection is an essential procedure for many tasks in computer vision. Although
literature is rich in proposals for this topic, most of existing methods are vulnerable to noise …

Lines provide important information in images, and line detection is crucial in many
applications. However, most of the existing algorithms focus only on the extraction of line …

Existing methods that rely on a single Gaussian scale to detect line segments could yield
poor line continuity and inferior orientation and position accuracy due to insufficient …

Lines provide important information in images and line detection is crucial in many
applications. However, most of the existing algorithms focus only on the extraction of line …

This paper introduces a fully discrete framework for a new straight line detector in gray-level
images, where line segments are enriched with a thickness parameter intended to provide a …

Abstract we propose a detector using two-orthogonal direction image scanning (TODIS) with
the capability of multi-scale detection by utilizing the prior knowledge of lines. The two step …

This paper presents a method to detect line pixels based on the sum of gradient angle
differences (SGAD). The gradient angle differences are calculated by comparing the four …

In this paper, we present a robust line segment detection algorithm to efficiently detect the
line segments from an input image. Firstly a parameter-free Canny operator, named as …

Line detection is a classical problem in computer vision and image processing, and it is
widely used as a basic method. Most of existing line detection algorithms are based on edge …

A new line segment detection approach is introduced in this paper for its application in real-
time computer vision systems. It has been designed to work unsupervised without any prior …