Accurate Centerline Detection and Line Width Estimation of Thick Lines Using the Radon Transform

• Published in: IEEE transactions on image processing Vol. 16; no. 2; pp. 310 - 316
• Main Authors: Qiaoping Zhang, Couloigner, I.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2007; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Application software; Applied sciences; Artificial Intelligence; Computer science; control theory; systems; Computer vision; Detectors; Displays; Exact sciences and technology; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Image line pattern analysis; Image processing; Image resolution; Imaging, Three-Dimensional - methods; Information Storage and Retrieval - methods; Information, signal and communications theory; Networks; Noise cancellation; object detection; Pattern recognition; Pattern Recognition, Automated - methods; Pattern recognition. Digital image processing. Computational geometry; Radar detection; Radon; radon transforms; Remote sensing; Reproducibility of Results; Roads; Robustness; Sensitivity and Specificity; Signal and communications theory; Signal processing; Signal representation. Spectral analysis; Signal, noise; Synthetic aperture radar; Telecommunications and information theory; Transforms; Computer vision; Image line pattern analysis; High resolution; Road network; Shape detection; Remote sensing; Noisy image; Selection problem; Image analysis; Line width; Linear transformation; radon transforms; Computer applications; Object detection; Signal processing; Feature extraction; Robustness; Pattern analysis; Edge detection; Radon transformation; Target detection; Non contact measurement

Centerline detection and line width estimation are important for many computer vision applications, e.g., road network extraction from high resolution remotely sensed imagery. Radon transform-based linear feature detection has many advantages over other approaches: for example, its robustness in noi...