神経生理学モデルを考慮したエッジ検出手法の開発と検証—トンネル内の明視性評価への応用—

抄録

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.