A low-cost, accurate method of producing large quantities of digitally filtered images

Kenneth C. Scott-Brown; Timothy R. Jordan

doi:10.3758/BF03200816

A low-cost, accurate method of producing large quantities of digitally filtered images

Kenneth C. Scott-Brown, Timothy R. Jordan

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

We demonstrate how to produce complex image transformations of bitmap files for vision experiments using the Cogimatic Vision Starter Kit (VSK) library of mathematical routines along with Visual Basic, C++, or the Delphi Pascal compiler. Implementing this system on an IBM-compatible PC running Windows 95, 98, or NT4 enables researchers to quickly and economically manipulate images for vision research. The VSK includes a simple stand-alone image-processing application. In addition, VSK has the ability to automate image transformations and to fully integrate image processing into new experimental software on the PC platform.

Original language	English
Pages (from-to)	458-463
Number of pages	6
Journal	Behavior Research Methods, Instruments, and Computers
Volume	32
Issue number	3
DOIs	https://doi.org/10.3758/BF03200816
Publication status	Published - Sep 2000

Access to Document

10.3758/BF03200816

Cite this

@article{c41d8a30b6654fd69b22ec780c801139,

title = "A low-cost, accurate method of producing large quantities of digitally filtered images",

abstract = "We demonstrate how to produce complex image transformations of bitmap files for vision experiments using the Cogimatic Vision Starter Kit (VSK) library of mathematical routines along with Visual Basic, C++, or the Delphi Pascal compiler. Implementing this system on an IBM-compatible PC running Windows 95, 98, or NT4 enables researchers to quickly and economically manipulate images for vision research. The VSK includes a simple stand-alone image-processing application. In addition, VSK has the ability to automate image transformations and to fully integrate image processing into new experimental software on the PC platform.",

author = "Scott-Brown, {Kenneth C.} and Jordan, {Timothy R.}",

year = "2000",

month = sep,

doi = "10.3758/BF03200816",

language = "English",

volume = "32",

pages = "458--463",

journal = "Behavior Research Methods",

issn = "1554-351X",

publisher = "Springer New York",

number = "3",

}

TY - JOUR

T1 - A low-cost, accurate method of producing large quantities of digitally filtered images

AU - Scott-Brown, Kenneth C.

AU - Jordan, Timothy R.

PY - 2000/9

Y1 - 2000/9

N2 - We demonstrate how to produce complex image transformations of bitmap files for vision experiments using the Cogimatic Vision Starter Kit (VSK) library of mathematical routines along with Visual Basic, C++, or the Delphi Pascal compiler. Implementing this system on an IBM-compatible PC running Windows 95, 98, or NT4 enables researchers to quickly and economically manipulate images for vision research. The VSK includes a simple stand-alone image-processing application. In addition, VSK has the ability to automate image transformations and to fully integrate image processing into new experimental software on the PC platform.

AB - We demonstrate how to produce complex image transformations of bitmap files for vision experiments using the Cogimatic Vision Starter Kit (VSK) library of mathematical routines along with Visual Basic, C++, or the Delphi Pascal compiler. Implementing this system on an IBM-compatible PC running Windows 95, 98, or NT4 enables researchers to quickly and economically manipulate images for vision research. The VSK includes a simple stand-alone image-processing application. In addition, VSK has the ability to automate image transformations and to fully integrate image processing into new experimental software on the PC platform.

U2 - 10.3758/BF03200816

DO - 10.3758/BF03200816

M3 - Article

VL - 32

SP - 458

EP - 463

JO - Behavior Research Methods

JF - Behavior Research Methods

SN - 1554-351X

IS - 3

ER -

A low-cost, accurate method of producing large quantities of digitally filtered images

Abstract

Access to Document

Fingerprint

Cite this