Image Filtering with Boolean and Statistical Operators.
Abstract
Edge extraction is an image processing technique for defining the edge information in an image. This effort researches different edging processes as applied to preprocessing for two pattern recognition processes. The first one is a cross-correlation method to find a target given that the target has a known size, orientation, and aspect. Correlation is performed in the spatial frequency domain with two-dimensional fast Fourier transforms of the searched edge image and a hand drawn edge template to correct for translation only. The second pattern recognition process researched also uses edging as one step of a purely spatial domain algorithm. The approach locates targets in infrared images that can be described as hot clusters. A cluster recognition algorithm by Hamadani is implemented and altered for testing of local thresholding and thresholding rules. The algorithm is shown to be effective on real infrared images. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1983
- Accession Number
- ADA138421
Entities
People
- R. D. Wells
Organizations
- Air Force Institute of Technology