Paper
1 February 1990 Modified MACE Filters For Distortion-Invariant Recognition Of Relocatable Targets
David Casasent, Gopalan Ravichandran
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Abstract
The original MACE (Minimum Average Correlation Energy ) filters are addressed with attention to the effect of iterative refinements, new database tests (on strategic relocatable objects, missile launch-ers), depression angle and resolution effects on the number of training set imagery required and noise performance. Major attention is given to our new MACE filter algorithms for distortion-invariant pattern recognition: iterative shift filter synthesis, MV-MACE (Minimum Variance-MACE) filters (for improved noise performance), multiple symbolic encoded filters and Gaussian Minimum Mean Square Error(MMSE) filters.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Casasent and Gopalan Ravichandran "Modified MACE Filters For Distortion-Invariant Recognition Of Relocatable Targets", Proc. SPIE 1156, Airborne Reconnaissance XIII, (1 February 1990); https://doi.org/10.1117/12.962481
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image filtering

Gaussian filters

Electronic filtering

Detection and tracking algorithms

Interference (communication)

Airborne reconnaissance

Optical filters

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