Paper Info
Title
Perceptual distance functions for similarity retrieval of medical images
Abstract
A challenge already opened for a long time concerning Content-based Image Retrieval (CBIR) systems is how to define a suitable distance function to measure the similarity between images regarding an application context, which complies with the human specialist perception of similarity. In this paper, we present a new family of distance functions, namely, Attribute Interaction Influence Distances (AID), aiming at retrieving images by similarity. Such measures address an important aspect of psychophysical comparison between images: the effect in the interaction on the variations of the image features. The AID functions allow comparing feature vectors using two parameterized expressions: one targeting weak feature interaction; and another for strong interaction. This paper also presents experimental results with medical images, showing that when the reference is the radiologist perception, AID works better than the distance functions most commonly used in CBIR.
Year
DOI
Venue
2006
10.1007/11788034_44
CIVR
Keywords
Field
DocType
similarity retrieval,weak feature interaction,suitable distance function,image feature,strong interaction,radiologist perception,human specialist perception,content-based image,medical image,attribute interaction influence distances,distance function,perceptual distance function,aid function,image features,feature vector
Expression (mathematics),Computer science,Image processing,Image retrieval,Metric (mathematics),Artificial intelligence,Computer vision,Similitude,Feature vector,Information retrieval,Pattern recognition,Feature (computer vision),Perception
Conference
Volume
ISSN
ISBN
4071
0302-9743
3-540-36018-2
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Joaquim Cezar Felipe1547.17
Agma Juci Machado Traina222117.58
Caetano Traina3937.28