A method to detect and characterize ellipses using the Hough transform

Bennett, Nicholas; Burridge, Robert; Saito, Naoki

doi:10.1109/34.777377

Cited by 67 publications

(29 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1 how our snake can adopt the shape of a perfect ellipse (i.e., reproduces the ellipse) as well as more refined shapes. Segmenting circles and ellipses in images is a problem that arises in many fields, such as biomedical engineering [19]- [22] or computer graphics [23], [24]. In medical imaging in particular, it is usually necessary to segment arteries and veins within tomographic slices [25].…”

mentioning

confidence: 99%

Snakes With an Ellipse-Reproducing Property

Delgado-Gonzalo

Thévenaz

Seelamantula

et al. 2012

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

Abstract-We present a new class of continuously defined parametric snakes using a special kind of exponential splines as basis functions. We have enforced our bases to have the shortest possible support subject to some design constraints to maximize efficiency. While the resulting snakes are versatile enough to provide a good approximation of any closed curve in the plane, their most important feature is the fact that they admit ellipses within their span. Thus, they can perfectly generate circular and elliptical shapes. These features are appropriate to delineate cross sections of cylindrical-like conduits and to outline bloblike objects. We address the implementation details and illustrate the capabilities of our snake with synthetic and real data.

show abstract

mentioning

confidence: 99%

Snakes With an Ellipse-Reproducing Property

Delgado-Gonzalo

Thévenaz

Seelamantula

et al. 2012

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

show abstract

“…About peak cell extraction, we compare our technique using the proposed filter with a traditional method. And about accumulation, we compare the adaptive thresholding technique that we propose with a traditional accumulation method [31], [32]. Accordingly, four different space line detection experiments have been designed, which are listed in Table I.…”

Section: B Space Line Detection Abilitymentioning

confidence: 99%

“…A commonly used method for curve detection to calculate the cell support is as follows [30]- [32]: for each pixel at coordinates (u, v), find all the Hough cells with their parameter values (A, B) satisfying the target equation (9), and increment the value of each cell so found by one. Some cell supports calculated by this method are shown in Fig.…”

Section: (C)mentioning

confidence: 99%

A Two-Omni-Camera Stereo Vision System With an Automatic Adaptation Capability to Any System Setup for 3-D Vision Applications

Shih

Tsai

2013

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

A stereo vision system using two omni-cameras for 3-D vision applications is proposed, which has an automatic adaptation capability to any system setup before 3-D data computation is conducted. The adaptation, which yields the orientations and distance of the two omni-cameras, is accomplished by detecting and analyzing the horizontal lines appearing in the omni-images acquired with the cameras and a person standing in front of the cameras. Properties of line features in environments are utilized for detecting more precisely the horizontal lines that appear as conic sections in omni-images. The detection work is accomplished through the use of carefully chosen parameters and a refined Hough transform technique. The detected horizontal lines are utilized to compute the cameras' orientations and distance from which the 3-D data of space points are derived analytically. Compared with a traditional system using a pair of projective cameras with nonadjustable camera orientations and distance, the proposed system has the advantages of offering more flexibility in camera setups, better usability in wide areas, higher precision in computed 3-D data, and more convenience for nontechnical users. Good experimental results show the feasibility of the proposed system. Index Terms-3-D vision applications, automatic adaptation, omni-camera, omni-image, stereo vision, system setup.

show abstract

“…Furthermore, the detection of line segment is an important and foundational issue in computer vision. The most well known feature extraction technique is Hough transformation (HT) [21][22][23]. It is concerned with the identification of lines in the image.…”

Section: Content-based Image Segmentationmentioning

confidence: 99%