A biologically inspired framework for contour detection

作者：Mignotte Max^*

来源：Pattern Analysis and Applications, 2017, 20(2): 365-381.

DOI：10.1007/s10044-015-0494-y

• Berkeley Dataset (BSDS300)
• Biologically inspired edge or contour detection
• Cortical image
• Dynamic retina concept
• F-measure
• Human visual system (HVS)
• Log-polar mapping
• Saccades

In this paper, we present a simple and efficient biologically inspired edge detection algorithm which attempts to model some structural features of the Human Visual System. More precisely, our edge detection approach attempts to model the dynamic retina concept, i.e., the natural saccadic eye movement process which redirects the fovea's attention from one point of interest to another within the image along with the inherent topological log-polar transformation (with its space-variant resolution) of the retinal image into its cortical projection. The experiments, reported in this paper and conducted on the Berkeley Segmentation Dataset, demonstrate that the proposed biologically inspired contour detection method performs well compared to the best existing state-of-the-art edge and contour detection methods recently proposed in the literature.

• 出版日期2017-5