Quantifying the effect of colorization enhancement on mammogram images

Paul J. Wojnicki; Elizabeth Uyeda; Evangelia Micheli-Tzanakou

doi:10.1117/12.462689

12 April 2002 Quantifying the effect of colorization enhancement on mammogram images

Paul J. Wojnicki, Elizabeth Uyeda, Evangelia Micheli-Tzanakou

Proceedings Volume 4686, Medical Imaging 2002: Image Perception, Observer Performance, and Technology Assessment; (2002) https://doi.org/10.1117/12.462689
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

Current methods of radiological displays provide only grayscale images of mammograms. The limitation of the image space to grayscale provides only luminance differences and textures as cues for object recognition within the image. However, color can be an important and significant cue in the detection of shapes and objects. Increasing detection ability allows the radiologist to interpret the images in more detail, improving object recognition and diagnostic accuracy. Color detection experiments using our stimulus system, have demonstrated that an observer can only detect an average of 140 levels of grayscale. An optimally colorized image can allow a user to distinguish 250 - 1000 different levels, hence increasing potential image feature detection by 2-7 times. By implementing a colorization map, which follows the luminance map of the original grayscale images, the luminance profile is preserved and color is isolated as the enhancement mechanism. The effect of this enhancement mechanism on the shape, frequency composition and statistical characteristics of the Visual Evoked Potential (VEP) are analyzed and presented. Thus, the effectiveness of the image colorization is measured quantitatively using the Visual Evoked Potential (VEP).

Citation Download Citation

Paul J. Wojnicki, Elizabeth Uyeda, and Evangelia Micheli-Tzanakou "Quantifying the effect of colorization enhancement on mammogram images", Proc. SPIE 4686, Medical Imaging 2002: Image Perception, Observer Performance, and Technology Assessment, (12 April 2002); https://doi.org/10.1117/12.462689

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available