Simulating Physiological Characteristics of Human Visual System - Visual Attention Mechanism

This folder contains code implementation and corresponding research papers, representing a project designed to simulate the physiological characteristics of human visual system - specifically the visual attention mechanism. The project employs computational models that mimic human visual perception patterns to detect visually salient objects and regions, while establishing the relationship between saliency density and scale in significant areas. The codebase implements key algorithms including multi-scale feature extraction, center-surround difference calculations, and saliency map normalization techniques. Furthermore, this project finds applications in biological vision simulation, visual target detection, visual object tracking, intelligent visual surveillance systems, and research in visual physiology and psychology. Through this implementation, researchers can gain deeper insights into the operational mechanisms of human visual system, thereby providing a more comprehensive foundation for related research fields.