Structured Computer Vision: Machine Perception Through Hierarchical Computation Structures

A.R. and Riseman Academic Press algorithm applied areas arithmetical instructions array Artificial Intelligence boundary cell at level color complexity Computer Graphics computer vision Computer Vision Systems concepts condition template corresponding data structures defined described E-SUM Edge detection edge pyramid example feature function girl scene Graphics and Image Hanson and Riseman hierarchical data structure horizontal IEEE IEEE Trans Image Processing Image Processing Vol input intensity iteration K₁ Klinger labelled layers level k+1 Linköping University logical instructions machine vision measure memory method neighborhood nodes objects operand output parallel parallel-serial pattern recognition Pavlidis PICAP picture processing pixels plane problem Proc processing cone processor pyramid data structure quad trees query receptive field reduction region analysis region growing regular decomposition resolution scanning serial shown in figure spatial strong edges subblocks subset symbols T-pyramid Tanimoto texture threshold tion transformation transition table ture values visual window