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Mathematical Models for Automatic Line Detection
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Volume 20 ,  Issue 1  (January 1973) table of contents
Pages: 62 - 80  
Year of Publication: 1973
ISSN:0004-5411
Author
Arnold K. Griffith  Information International, Inc., 12435 W. Olympic Blvd., Los Angles, CA and Massachusetts Inshtute of Technology, Cambridge, Massachusetts
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 32,   Citation Count: 3
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ABSTRACT

A particular decision-theoretic approach to the problem of detecting straight edges and lines in pictures is discussed. A model is proposed of the appearance of scenes consisting of prismatic solids, taking into account blurring, noise, and smooth variations in intensity over faces. A suboptimal statistical decision procedure is developed for the identification of a line within a narrow band in the field of view, given an array of intensity values from within the band. The performance of this procedure is illustrated and discussed.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CHow, C.K. On optimum recognition error and reject tradeoff. Proj. MAC Artificial Intelligence Memo 175, MIT, Cambridge, Mass., 1969.
 
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ROBERTS, L G. Machine perception of three-dimensional sohds. In Optzcal and Electro- Optical Information Processing, T. J. Tlppett, et. al (Eds.), MIT Press, Cambridge, Mass., 1965.
 
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HERSKOVITS, A. On boundary detection. Proj MAC Artificial Inte|hgence Memo 183, MIT, Cambridge, Mass., 1970.
 
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ROSENFELD, A., AND THURSTON, M. Edge and curve detection for visual scene analysis. IEEE Trans C-20, 5 (May 1971), 562-569.
 
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LEVINE, M.D. Feature extraction. A survey. Proc. IEEE 57, 8 (Aug 1969), 1391-1407
 
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ROSENFELD, A. Picture Processing by Computer. Academm Press, New York, 1969.
 
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ROSENFELD, A. A Non-linear edge detectmn technique (Letter). Proc. IEEE 58 (1970), 814-816.
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