Issue No. 01 - January (1980 vol. 2)
J. O. Eklundh , Defense Research Institute, Stockholm, Sweden.
H. Yamamoto , National Aerospace Laboratory, Tokyo, Japan.
A. Rosenfeld , Computer Science Center, University of Maryland, College Park, MD 20742.
Three approaches to reducing errors in multispectral pixel classification were compared: 1) postprocessing (iterated reclassification based on comparison with the neighbors' classes); 2) preprocessing (iterated smoothing, by averaging with selected neighbors, prior to classification); and 3) relaxation (probabilistic classification followed by iterative probability adjustment). In experiments using a color image of a house, the relaxation approach gave markedly superior performance; relaxation eliminated 4-8 times as many errors as the other methods did.
J. O. Eklundh, A. Rosenfeld and H. Yamamoto, "A Relaxation Method for Multispectral Pixel Classification," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 2, no. , pp. 72-75, 1980.