The statistics of lines in natural images and implications for visual detection

Ha Youn Lee and Mehran Kardar

Physica A: Statistical Mechanics and its Applications, 2010, vol. 389, issue 15, 2975-2980

Abstract: As borders between different regions, lines are an important element of natural images. Already at the level of the mammalian primary visual cortex (V1), neurons respond best to oriented bars. We reduce a set of images to linear segments and analyze their statistical properties. In particular, appropriately defined Fourier spectra show more power in their transverse component than in the longitudinal one. We then characterize filters that are best suited for extracting information from such images, and find some qualitative consistency with neural connections in V1. We also demonstrate that such filters are efficient in reconstructing missing lines in an image.

Keywords: Primary visual cortex (V1); Neurons; Nature image analysis; Fiters for visual detections (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:389:y:2010:i:15:p:2975-2980

DOI: 10.1016/j.physa.2010.01.004

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