Contour detection based on binocular parallax perception mechanism

We propose a new method of image contour detection, considering the close relationship between binocular parallax in the biological vision system and the hierarchical transmission of visual channel information flow. Firstly, we present the dynamic adjustment mechanism of different opponent cell connection weights in a color channel to obtain the initial contour response diagram. Subsequently, we introduce the binocular parallax energy model to separate the image feature information to receive the response of position and phase differences; we then construct the end-stopped cells with different phases to extract the primary contour of the image to a significant extent. At the same time, we propose a multi-scale receptive field fusion strategy to suppress the local texture with multi-intensity. Finally, we use the feedforward mechanism across the hierarchy to refine the textured background and improve the primary contour contrast to obtain the final contour response. Our image processing method based on binocular parallax compensation can provide a new idea for subsequent studies on the higher visual cortex's image understanding and visual cognition.