Perceptual Learning of Image Texture in Humans

Our environment is rich in visual information. Many visual scenes consist of patterns of luminance, edges, line segments, and contrast. Together, these elements form distinct visual structures: image ‘textures’ that can be processed by the human visual system. These textures help us distinguish between different surfaces and objects, and help us navigate our environment.

Artificial textures can be created to study how humans perceive texture, and isolate specific aspects of interest. The textures I study are called isotrigons. My PhD thesis is on this topic, and a few papers are in the works. A published paper on ‘Learning Complex Texture Discrimination’ is here. For further information or access to papers please contact me.