Abstract

The present study aimed to determine the optimum response time (RT) needed to identify images of everyday objects when filtered using different spatial frequency bands. Subjects were randomly presented with different images of familiar objects that were both serialized and progressive in their spatial frequencies. The time needed to recognize them was then measured. The results showed that the optimum RT for identifying an image filtered in different spatial frequency bands was approximately 2000 ms of exposure. Specifically, stimuli presented using spatial frequency bands with Gaussian filters of variance V26-V32, which were familiar and of medium size to the viewer, were recognized in a mean time of 2126 ms.

Highlights

  • Image filtered in different spatial frequency bands was approximately 2000 ms of exposure

  • The results show that the optimum response time (RT) for identifying an image filtered in different spatial frequency bands was approximately 2000 ms of exposure

  • Familiar and medium-sized stimuli presented in banks of spatial frequency bands with Gaussian filters of variance V26-32 were recognized in a mean time of 2126 ms

Read more

Summary

Introduction

Image filtered in different spatial frequency bands was approximately 2000 ms of exposure. Many studies support the idea that spatial filtering in the frequency domain occurs during an early stage of visual processing During this stage, basic operations transpire which lead to a higher level of observation, such as: three-dimensionality, recognition, and categorization. Psychophysical studies investigating what is known in visual perception as trellis bars -which are images of differing frequencies that demonstrate the same degree of luminance- found a contrast sensitivity function. It is through this contrast sensitivity function that the visual system obtains the information from the input image of the stimulus in the frequency domain.

Objectives
Methods
Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.