✦ LIBER ✦

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

✍ Scribed by Ha Youn Lee; Mehran Kardar

Publisher: Elsevier Science
Year: 2010
Tongue: English
Weight: 533 KB
Volume: 389
Category: Article
ISSN: 0378-4371
DOI: 10.1016/j.physa.2010.01.004

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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