Paper Info
Title
Intensity Compensation within Series of Images
Abstract
This article addresses the problem of histogram matching in the context of medical image processing. Such a problem occurs while comparing two images of the same object, where intensity differences are due to different acquisition conditions. This can be compensated by histogram matching or equalization. To achieve this, we based our method on windowing techniques. This allows to match implicitly continuous probability density functions, yielding more robust results than the methods issued from discrete histograms.
Year
DOI
Venue
2003
10.1007/978-3-540-39903-2_6
Lecture Notes in Computer Science
Keywords
Field
DocType
probability density function
Computer vision,Histogram,Equalization (audio),Pattern recognition,Computer science,Image processing,Histogram matching,Adaptive histogram equalization,Artificial intelligence,Probability density function
Conference
Volume
ISSN
Citations 
2879
0302-9743
13
PageRank 
References 
Authors
0.99
5
2
Name
Order
Citations
PageRank
Grégoire Malandain11989224.11
Eric Bardinet244145.55