Optimal Morphological Approaches To Image Matching And Object Detection
- 1 January 1988
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 695-699
- https://doi.org/10.1109/ccv.1988.590053
Abstract
It is shown that minimizing the C1 match- ing error is equivalent to maximizing a nonlinear signal cor- relation (a sum of minima), which is related to morpholog- ical filtering. This approach is optimum in rnany formula- tions of the image matching and object detection problem. Further, a closely related approach is outlined for object detection using rank order filtersKeywords
This publication has 5 references indexed in Scilit:
- Rank order operators and the mean absolute error criterionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Image Analysis Using Mathematical MorphologyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- Min-Max Operators in Texture AnalysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1985
- Image Algebra and Automatic Shape RecognitionIEEE Transactions on Aerospace and Electronic Systems, 1985
- Two-Stage Template MatchingIEEE Transactions on Computers, 1977