Generating complementary gray-level images for object recognition experiments using Gabor wavelet decomposition

I. King*, J. Fiser

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract (may include machine translation)

We present a software image processing methodology to generate complementary gray-scale images for visual perception experiments examining the interaction between the spatial localization and orientation sensitivity of visual perception. Specifically, our system is able to selectively mask or unmask specific resolutions, positions, and/or orientations of an input gray-level image using Gabor wavelet decomposition. The resulting representations are then combined to obtain partially reconstructed images for novel psychophysical experimentations.

Original languageEnglish
Pages (from-to)433-441
Number of pages9
JournalBehavior Research Methods, Instruments, & Computers
Volume27
Issue number4
DOIs
StatePublished - Dec 1995
Externally publishedYes

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