21 September 2001 Model of extraction and representation of spatial knowledge using Hough transform
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Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001); doi: 10.1117/12.441463
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
This paper presents a model of extraction and representation of spatial knowledge using Hough Transform. The purpose here is to extract line segments and specific relations to represent knowledge. Using Hough Transform, from polar representation of a line segment we extract line segment, which approximate an object. We consider the rotation of segment from 0 degree to 180 degrees position and approximate the possible segments positions to n which constitute the alphabet of our model. We then define relations between extracted segments with respect to their ends and inner. From these relations and alphabet, we represent an object as a couple (S, R) where S is the vector of segments and R is the vector of relations between the components of S. The similarity of two objects depends on the distance between their representation. There are promising results for character recognition.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jules-Raymond Tapamo, "Model of extraction and representation of spatial knowledge using Hough transform", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441463; https://doi.org/10.1117/12.441463
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KEYWORDS
Image segmentation

Hough transforms

Optical character recognition

Silicon

Feature extraction

Image analysis

Image compression

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