Using colour pattern edge contrast statistics to predict detection speed and success in triggerfish (Rhinecanthus aculeatus).

ABSTRACT: Edge detection is important for object detection and recognition. However, we do not know whether edge statistics accurately predict the detection of prey by potential predators. This is crucial given the growing availability of image analysis software and their application across non-human visual systems. Here, we investigated whether Boundary Strength Analysis (BSA), Local Edge Intensity Analysis (LEIA) and the Gabor edge disruption ratio (GabRat) could predict the speed and success with which triggerfish (Rhinecanthus aculeatus) detected patterned circular stimuli against a noisy visual background, in both chromatic and achromatic presentations. We found various statistically significant correlations between edge statistics and detection speed depending on treatment and viewing distance

SUBMITTER: van den Berg CP 

PROVIDER: S-EPMC9789405 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature