A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edgel-aggregation and edge-description
Computer Vision, Graphics, and Image Processing
Line detection in digital pictures: a hypothesis prediction/verification pardigm
Computer Vision, Graphics, and Image Processing
Edge Detection and Linear Feature Extraction Using a 2-D Random Field Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
A hierarchical approach to line extraction based on the Hough transform
Computer Vision, Graphics, and Image Processing
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Semantic Annotation of Sports Videos
IEEE MultiMedia
An algorithm for automatic detection of runways in aerial images
Machine Graphics & Vision International Journal
Semantic Annotation and Indexing of News and Sports Videos
SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
Automatic interpretation of soccer video for highlights extraction and annotation
Proceedings of the 2003 ACM symposium on Applied computing
Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
A simple and robust line detection algorithm based on small eigenvalue analysis
Pattern Recognition Letters
Mean shift based clustering of Hough domain for fast line segment detection
Pattern Recognition Letters
Multistrategical image classification for image data mining
Proceedings of the 8th international workshop on Multimedia data mining: (associated with the ACM SIGKDD 2007)
Circular Sub-window Multi-Step GPI Method in Seam Tracking of Welding Robot Based on 3D Vision
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
Multistrategical approach in visual learning
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Computational-geometry approach to digital image contour extraction
Transactions on computational science XIII
Object recognition using local descriptors: a comparison
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
HMM-based ball hitting event exploration system for broadcast baseball video
Journal of Visual Communication and Image Representation
Detection of straight lines using rule directed pixel comparison (RDPC) method
ADCONS'11 Proceedings of the 2011 international conference on Advanced Computing, Networking and Security
| Hi-index | 0.14 |
A method is described for extracting lineal features from an image using extended local information to provide robustness and sensitivity. The method utilizes both gradient magnitude and direction information, and incorporates explicit lineal and end-stop terms. These terms are combined nonlinearly to produce an energy landscape in which local minima correspond to lineal features called sticks that can be represented as line segments. A hill climbing (stick-growing) process is used to find these minima. The method is compared to two others, and found to have improved gap-crossing characteristics.