The goal of every computer vision system is to at least match human perceptual abilities at performing a desired task. Hence the need to have an interest in and be knowledgeable of human perceptual abilities is implicit to the discipline of computer vision. If one desires to create a general purpose computer vision system the best place to look to gain general insights into how to construct such a system would seemingly be to examine what is known about human perceptual mechanisms. With this in mind the general scene analysis and image analysis strategies of the human visual system will be reviewed. Based on an analysis of these strategies it will be argued that what is needed to create a general purpose vision system is a quantitative model of human preattentive vision. Further it will be argued that this quantitative model should be based on what has been classically called texture operators.
Richard W. Conners,
"The Need For A Quantitative Model Of Human Preattentive Vision", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940622; https://doi.org/10.1117/12.940622