We propose an efficient method for extracting parameters of elliptic regions in digital images.
Only one 2-dimensional accumulator array A (ρ, θ) is used for Hough voting, defined by …

We propose a new approach to detecting irregular curvilinear structures in noisy image
stacks. In contrast to earlier approaches that rely on circular models of the crosssections …

This paper presents a fast and accurate algorithm for extracting lines and circular arcs from
digital images. Conventional line and circle extraction algorithms first extract the edge pixels …

Shape matching plays an important role in various computer vision and graphics
applications such as shape retrieval, object detection, image editing, image retrieval, etc …

The extraction of curvilinear structures is an important low-level operation in computer
vision. Most existing operators use a simple model for the line that is to be extracted, ie, they …

Global voting schemes based on the Hough transform (HT) have been widely used to
robustly detect lines in images. However, since the votes do not take line connectivity into …

Rectangular shape object detection in color images is a critical step of many image
recognition systems. However, there are few reports on this matter. In this paper, we …

We describe a multi-scale approach for interpolation and approximation of a point set
surface by compactly supported radial basis functions. Given a set of points scattered over a …

This paper describes a new method of extracting straight lines based on unsupervised line
clustering. It is assumed that each line support region (LSR) in an image is composed of …

The analysis of thin curvilinear objects in 3D images is a complex and challenging task. In
this article, we introduce a new, non-linear operator, called RORPO (Ranking the Orientation …