Development and Verification of Edge Detection Method Based on Neurophysiology-based Models—Application to Visibility Evaluation in Tunnels—

Abstract

Luminance-based visibility evaluation methods can enhance lighting design flexibility in near future, in which case edge detection technologies will be essential. We developed an edge detection method by including a normalization algorithm based on neurophysiology and validated it by examining the relationship to subjective evaluation in tunnel spaces. The result showed that the algorithm in this research could estimate the visibility with sufficient accuracy. In the future, this algorithm will need to be combined with the optical mechanism in visual systems and compared with other algorithms with different parameters settings to further validate this method.