Paper
1 April 1994 Objective characterization of image acutance
Salaheddin G. Elkadiki, Rangaraj M. Rangayyan
Author Affiliations +
Abstract
Acutance refers to the sharpness and thus the perceptibility of features in an image. Currently available methods for characterization of perceptibility of image features are either highly subjective or statistical. There is a need for a purely objective measure to characterize the perceptibility of image features. This paper proposes a measure of acutance based on gray-level variations across the boundary of an object. An algorithm to calculate the acutance based on region growing and a derivative measure across region boundaries has been designed and implemented. After testing the algorithm on various images, it is shown that this measure can accurately reflect changes in the appearance of objects due to blurring and sharpening. Using this technique, it is possible to quantify the level of enhancement in a digital image by calculating the acutance before and after the enhancement operation.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Salaheddin G. Elkadiki and Rangaraj M. Rangayyan "Objective characterization of image acutance", Proc. SPIE 2166, Medical Imaging 1994: Image Perception, (1 April 1994); https://doi.org/10.1117/12.171744
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image enhancement

Edge detection

Visualization

Eye

Image filtering

Algorithm development

Image analysis

Back to Top