Identifying Diagnostic Features in Rapid Affective Image Categorization
Identifying Diagnostic Features in Rapid Affective Image Categorization is a scholarly work, published in 2018 in ''Journal of Vision''. The main subjects of the publication include monochromatic color, categorization, artificial intelligence, psychology, computer vision, support vector machine, color constancy, pattern recognition, computer science, and color psychology. The authors assayed the contributions of image Fourier amplitude spectra (AS) and color in two experiments focusing on rapid categorization of affective versus neutral natural scenes.