Abstract:

To effectively deal with the problem of contour detection in non-structuring natural scene images under complex background, an algorithm combining guided filter and visual perception is proposed. Images are pre-processed through the improved weighted guided filter algorithm to remove the noise, preserve and enhance contour information of the object; then the images are processed through texture inhibition and contour strengthen algorithm inspired by visual perception mechanism of non-classical receptive fields. Complete implementation procedure and processing steps are presented. The qualitative and quantitative experimental results demonstrate that the proposed contour detection method outperforms other methods that deploy inhibition. The method provides a novel approach for practical improvement of natural scene contour extraction and visual imitation image processing.