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We deal with the probiem of segmenting static images, a procedure known to be difficult in the case of verynoisy patterns, The proposed approach rests on the transformation of a static image into a data flow in whichthe first image points to be processed are the brighter ones. This solution, inspired by human perception, inwhich strong luminances elicit reactions from the visual system before weaker ones, has led to the notion ofasynchronous processing. The asynchronous processing of image points has required the design of a specificarchitecture that exploits time differences in the processing of information. The results otained when verynoisy images are segmented demonstrate the strengths of this architecture; they also suggest extensions ofthe approach to other computer vision problem

Asynchrony in image analysis: using the luminance-to-response-latency relationship to improve segmentation