Paper
26 October 2013 Contour-based object detection using generalized Hough transform
Bitao Jiang, Lei Ma
Author Affiliations +
Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180A (2013) https://doi.org/10.1117/12.2031239
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Abstract
We present a novel contour-based object detector using generalized hough transform where each local part casts a vote for the possible locations of the object center. The angles of line segments as local feature are extracted to describe the contour of the object, then an improved voting tactics is applied to detect the location and attitude of the object. Experimental results demonstrate that the algorithm has an encouraging detection performance.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bitao Jiang and Lei Ma "Contour-based object detection using generalized Hough transform", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180A (26 October 2013); https://doi.org/10.1117/12.2031239
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Cited by 1 scholarly publication.
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KEYWORDS
Hough transforms

Feature extraction

Remote sensing

Sensors

3D modeling

Image segmentation

Detection and tracking algorithms

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