Computational Model for Image Processing in the Minds of People with Visual Agnosia using Fuzzy Cognitive Map

The Agnosia is a neurological condition that leads to an inability name, recognize, and extract meaning from the visual, auditory, sensory environment, despite fact receptor organ perfect. Visual agnosia most common type of this disorder. People with have trouble communicating between mind brain. As result, they cannot understand images seen. In paper, model proposed based on visual pathway so it first receives stimulus then, after understanding, object identified. using intelligent Fuzzy Cognitive Map will help improve image processing in minds these patients. First, inspired by perception pathway, designed. Then, appropriate attributes include texture color are extracted concept seen perceived Mapping, recognition relationships objects. This reduces difficulty perceiving recognizing objects patients agnosia. results show model, 98.1% accuracy, shows better performance than other methods.