Applications of Digital Image Processing: April 19-22, 1983, Geneva, SwitzerlandAndré Oosterlinck, Andrew G. Tescher |
Common terms and phrases
algorithm aperture applications approximation Baltic sea Bayuda desert binary image camera classification coding components compressed contour coordinates corresponding data compression defined density detection DIEGO digital image processing direction display edge detection edge points equation feature extraction Figure filtering Fourier function geometric given graph grey level Hadamard Hadamard matrix Hadamard transform hexagonal histogram Hough transform IEEE Trans image analysis image-plane imaging system input iteration LANDSAT LANDSAT scene lens linear LINOCT mask matching matrix measure method modules node noise object obtained operations optical orientation original image output parameter Pattern Recognition performed picture pixels plane problem Proc procedure processor quantization receptive field reconstruction reference region resolution robot scanning segmentation sensor array sequence shape shown signal simulation spatial frequency spectral square step structure surface techniques texture threshold tion transform vector visual voxel zero