Arnold K. Griffith
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.
- 1 GRIFFITH, A.K. Computer recognition of prismatic solids. Proj MAC Tech. Rep. MAC-TR-73, MIT, Cambridge, Mass., Aug. 1970. Google Scholar
- 2 CHow, C.K. On optimum recognition error and reject tradeoff. Proj. MAC Artificial Intelligence Memo 175, MIT, Cambridge, Mass., 1969.Google Scholar
- 3 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.Google Scholar
- 4 HERSKOVITS, A. On boundary detection. Proj MAC Artificial Inte|hgence Memo 183, MIT, Cambridge, Mass., 1970.Google Scholar
- 5 ROSENFELD, A., AND THURSTON, M. Edge and curve detection for visual scene analysis. IEEE Trans C-20, 5 (May 1971), 562-569.Google Scholar
- 6 LEVINE, M.D. Feature extraction. A survey. Proc. IEEE 57, 8 (Aug 1969), 1391-1407Google Scholar
- 7 ROSENFELD, A. Picture Processing by Computer. Academm Press, New York, 1969.Google Scholar
- 8 ROSENFELD, A. A Non-linear edge detectmn technique (Letter). Proc. IEEE 58 (1970), 814-816.Google Scholar
- 9 HUECKEL, M.H. An operator which locates edges in digitized pictures. J. ACM 18, 1 (Jan 1971), 113-125. Google Scholar
- 10 ROSENFELD, A. Picture processing by computer. Computing Surveys 1, 3 (Sept. 1969), 147-176. Google Scholar
Index Terms
- Mathematical Models for Automatic Line Detection
Recommendations
Mathematical models for automatic line detection
IJCAI'71: Proceedings of the 2nd international joint conference on Artificial intelligenceThe goal of the work here reported is to Investigate algorithms which find the real straight edges In scenes consisting of prismatic solids, taking Into account smooth variations In Intensity over faces, blurring of edges, and noise. To this end we give ...
Image-based Transmission Line Detection on Finite Element Line Segments
EITCE '20: Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer EngineeringDetection of transmission line is an important and challenging topic in low altitude flight. Different from the traditional transmission line detection method, in which the transmission line is detected based on the straight line, in order to extract ...
Automatic Straight Line Detection through Fixed-Point BYY Harmony Learning
ICIC '08: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological IssuesStraight line detection in a binary image is a basic but difficult task in image processing and machine vision. Recently, a fast fixed-point BYY harmony learning algorithm has been established to efficiently make model selection automatically during the ...
Comments