Using wavelet filtering of the input image to study the mechanisms that bring about the Muller-Lyer visual illusion

Тип публикации: статья из журнала

Год издания: 2011

Идентификатор DOI: 10.1364/JOT.78.000817

Ключевые слова: Digital filtering, Filtered images, Half-width, High frequency, Input image, Low-frequency components, Pass bands, Test images, Visual illusions, Visual systems, Wavelet filtering, Engineering, Molecular physics, Spectroscopy

Аннотация: Various images of the Muller-Lyer figures have been obtained by digital filtering. The filtered images contained a definite spatial-frequency spectrum, predominantly low, medium, or high frequencies. The filtering was carried out by convolution of the images with wavelets that are the difference of two Gaussoids with half-width differing by a factor of 2. The equalization threshold of the Muller-Lyer figures was measured by presenting images subjected to digital processing and without processing, thereby measuring the threshold for bringing about the illusion. The Muller-Lyer illusion was caused by all the stimuli, but it was reliably larger in response to the presentation of the image with a predominantly low-frequency component. The modelling of the Muller-Lyer illusion must take into account the spatial-frequency spectrum of the test image and the characteristics of the pass-band filtering in the spatial-frequency channels of not only the primary but also the higher divisions of the visual system, which construct the envelope based on the primary filtering of the image. (C) 2011 Optical Society of America.

Ссылки на полный текст

Издание

Журнал: JOURNAL OF OPTICAL TECHNOLOGY

Выпуск журнала: Vol. 78, Is. 12

Номера страниц: 817-820

ISSN журнала: 10709762

Место издания: WASHINGTON

Издатель: OPTICAL SOC AMER

Авторы

  • Shoshina I.I. (Siberian Federal University)
  • Pronin S.V. (I. P. Pavlov Institute of Physiology,Russian Academy of Sciences)
  • Shelepin Y.E. (I. P. Pavlov Institute of Physiology,Russian Academy of Sciences)

Вхождение в базы данных

Информация о публикациях загружается с сайта службы поддержки публикационной активности СФУ. Сообщите, если заметили неточности.

Вы можете отметить интересные фрагменты текста, которые будут доступны по уникальной ссылке в адресной строке браузера.