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Robust Detection of Corners and Corner-line Links in Images
2010
2010 10th IEEE International Conference on Computer and Information Technology
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We define corner points in an image as the intersections among detected straight line segments, and propose an algorithm that detects corners from such a definition. ...
Detected corners are linked via line segments that define them. Such an output of the corner detection algorithm is a novel concept. ...
Each corner is linked to at least another corner in the image. Such an output of a corner detection algorithm is a novel concept in computer vision and image processing. ...
doi:10.1109/cit.2010.109
dblp:conf/IEEEcit/MonteroSN10
fatcat:mden2svamnhgvdq4jvctra4x3q
Concavity detection using a binary mask-based approach
[chapter]
1998
Lecture Notes in Computer Science
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link
ninety degree angle
straight line between two
identical masks
common points between
two corners
consistent orientation
robustness
two identical neighbor
masks
inclusion in a connected ...
Corner Detection
Definitions and Hypotheses In the digital case, concavity is not a locally detectable property . However, using edge mask labels, it is possible to define a concept of corner. ...
doi:10.1007/bfb0033248
fatcat:pcw5bhqgezekraiddiscdcwtve
Corner Detection Using Difference Chain Code as Curvature
2007
2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
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Detection of discontinuity plays an important role in image registration, comparison, segmentation, time sequence analysis and object recognition. ...
In this paper we address some aspects of analyzing the content of an image. A point is classified as a corner where there are abrupt changes in the curvature of the curve. ...
In down sampling, a number of links may merge into one, and in up-sampling one link may cause a string of many links to be generated. ...
doi:10.1109/sitis.2007.118
dblp:conf/sitis/NainLBG07
fatcat:aji77y4lejfurgrx43tknz4qlq
Automatic detection of underwater chain links using a forward-looking sonar
2013
2013 MTS/IEEE OCEANS - Bergen
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Experiments with sonar images of a real chain are reported, showing a high percentage of correct link detections with good accuracy while potentially keeping real-time capabilities. 978-1-4799-0002-2/13 ...
We exploit the high frame-rate of the sonar to improve, by registration, the signal-to-noise ratio of the individual sonar frames and to cluster the local detections over time to increase robustness. ...
Therefore, the first and key stage consists in developing a robust link detection algorithm from sonar images, which is the focus of the present paper. ...
doi:10.1109/oceans-bergen.2013.6608106
fatcat:r4kolnmukbevhhwkh32msmkvwe
Step-by-step pipeline processing approach for line segment detection
2017
IET Image Processing
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can remove the unwanted smoothing of the Canny detector in most line detections. ...
The Harris corner detector is applied to catch regions of line segments for the purpose of simulating the composition of sketching and achieving a sense of unity within the picture. ...
T and τ, respectively:
Fig. 7 7 Line detection under different corner distances (a) Test image, (b) Line detection results of a when the corner distance is 5, (c) Line detection results of a when the ...
doi:10.1049/iet-ipr.2016.0493
fatcat:gfsvrnmbxjfmnn3xxt4dkdvet4
Combined Precise Extraction and Topology of Points, Lines and Curves in Man-Made Environments
[chapter]
2017
Lecture Notes in Computer Science
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In order to get points, the intersections between the geometric primitives are calculated. The method allows a precise and at the same time robust detection of the image features. ...
This article presents a novel method for a combined extraction of points, lines and arcs in images. Geometric primitives are fitted into extracted edge pixels. ...
Corner points generated by the intersecting of line segments have a higher localization accuracy than classical point features and a greater robustness against noise. ...
doi:10.1007/978-3-319-66709-6_10
fatcat:ndfnspf74jgepjxo3p24z4ftx4
EXTRACTION AND MATCHING OF SYMBOLIC CONTOUR GRAPHS
2003
International journal of pattern recognition and artificial intelligence
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The image to be analyzed is transformed into a graph a with object corners as vertices and connecting contours as edges. Image corners are determined using a robust multiscale corner detector. ...
Edges are constructed by line-following between corners based on evidence from the multiscale Gabor wavelet transform. Model matching is done by finding subgraph isomorphisms in the image graph. ...
Globally the algorithm, illustrated in Figure 1 , contains 3 stages: (1) detecting corners and local edge maxima by thresholding (lines 2-3); the initial stage of a two dimensional layer of linking cells ...
doi:10.1142/s0218001403002848
fatcat:uepweunw5rhwfhm7av677m6vny
Detecting Distinguished Regions by Saliency
[chapter]
2003
Lecture Notes in Computer Science
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The proposed method detects scale localized salient regions in an image by a saliency operator which uses the concept of visual attention. ...
A method for detecting and characterizing local image regions based on saliency is introduced. ...
The method links the subsequent steps of detection and description of interest regions by using a common descriptor. ...
doi:10.1007/3-540-45103-x_29
fatcat:don26k2ja5fw5nnvwoklb6wuo4
Automatic checkerboard detection for camera calibration using self-correlation
2018
Journal of Electronic Imaging (JEI)
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An automatic checkerboard detection method that can detect multiple checkerboards in a single image is proposed. ...
Five public datasets are used in the experiments to evaluate the method. Results show high detection rates and a short average runtime of the proposed method. ...
Acknowledgments We thank the anonymous reviewers for their help in the improvement of the paper. ...
doi:10.1117/1.jei.27.3.033014
fatcat:i2df4yaot5flljovenxoca7pqy
Vision for Robotics
2009
Foundations and Trends in Robotics
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Line is vertical in the image
• Color Edge Projected
Integration of Cues:
-Pre-selection of relevant
Edgels
-Local cues:
• Image: Intensity, color, (texture)
• Model: Region belonging to
object ...
Edge detection: all edges
∑
=
+
=
cues
i
rechts
i
rechts
links
i
links
H
w
H
w
e
1
,
,
Image: intensity, colour
Adaptation: μ und σ
Model: object side
Y
T1
T2
2. ...
doi:10.1561/2300000001
fatcat:qe52wh5bizd75l73uw4gmw7k5e
ROCHADE: Robust Checkerboard Advanced Detection for Camera Calibration
[chapter]
2014
Lecture Notes in Computer Science
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Quantitative comparisons to OpenCV's checkerboard detector show that the proposed method detects up to 80% more checkerboards and detects corner points more accurately, even under strong perspective distortion ...
Finally, we investigate how the accuracy of a checkerboard detector affects the overall calibration result in multi-camera setups. ...
This publication was supported by the German Federal Ministry of Education and Research as part of the Spitzencluster Medical Valley program 13GW0029A. ...
doi:10.1007/978-3-319-10593-2_50
fatcat:dlsibc7ikvdrvnzmfo7jskv2ji
Robust Corner Detection by Image-Based Direct Curvature Field Estimation for Mobile Robot Navigation
2012
International Journal of Advanced Robotic Systems
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The proposed image-based direct curvature estimation can overcome limitations in both the inaccurate structural corner detection of the Harris corner detector (intensitybased) and the unstable corner detection ...
Intensity-based corner detectors, such as the Harris corner, can detect corners in noisy environments, but have inaccurate corner positions and miss the corners of obtuse angles. ...
In general, the impHarris corner detector is robust to textured images due to image filtering, but offers poor detection of obtuse corners and shows shifted corner positions ( Figure 4 ). ...
doi:10.5772/53872
fatcat:gwhx5ym27be7flc2zlxtlwel7a
COP: a new corner detector
2002
Pattern Recognition Letters
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Fast, accurate and noise-robust corner detection is accomplished with the COP. Ó ...
This paper presents a new, simple and effective low level processing method to detect corners. ...
Acknowledgements This research is supported by BK21 and PO-SCO. ...
doi:10.1016/s0167-8655(02)00083-1
fatcat:pv5cuawos5bnfm42w7jxgq3z2y
Feature Point Detection By Combining Advantages Of Intensity-Based Approach And Edge-Based Approach
2012
Zenodo
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The proposed image-based direct curvature estimation can overcome limitations in both inaccurate structural corner detection of the Harris corner detector (intensity-based) and the unstable corner detection ...
Intensity-based corner detectors such as the Harris corner can detect corners in noisy environments but has inaccurate corner position and misses the corners of obtuse angles. ...
In general, the impHarris corner detector is robust to textured images due to image filtering but offers poor detection of obtuse corners and shows shifted corner positions (Fig. 3) . ...
doi:10.5281/zenodo.1077948
fatcat:5op5qnvkebbjtemn7r7j4oz5q4
An algebraic model for fast corner detection
2009
2009 IEEE 12th International Conference on Computer Vision
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must lie close to one of the two intersecting lines, an important aspect to stable corner detection. ...
The key benefits to this approach are: (1) performance (in space and time); since no image pyramid (space) and no edge-linking (time) is required and (2) compactness; the estimated model includes the corner ...
Scale invariant versions of corner detectors include [8, 10] and [11] which provide increasingly sophisticated models for corner detection that are affine-invariant and robust to illumination changes ...
doi:10.1109/iccv.2009.5459443
dblp:conf/iccv/WillisS09
fatcat:666ws4uojfhwxoo67k2hoqgouy
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