Paper Info
Title
Texture Characteristic Extraction for Dominant Directions in Content-based Medical Image Retrieval
Abstract
The paper presents a texture characteristic extraction method for dominant directions. Enhanced Fourier spectrum is computed for an image in a medical image database. Direction histogram is computed from the enhanced Fourier spectrum. The set of dominant directions is computed according to the histogram. Gray co-occurrence matrix extracts texture characteristics based on the set. Euclidean distance is used to measure similarity between the images. Experiments show that the method in the paper show good performance for directional texture images and the same performance as currently widely used methods for non-directional texture images.
Year
DOI
Venue
2008
10.1109/BMEI.2008.124
BMEI (2)
Keywords
Field
DocType
directional texture image,direction histogram,gray co-occurrence matrix,enhanced fourier spectrum,texture characteristic extraction method,content-based medical image,texture characteristic,euclidean distance,image retrieval,dominant direction,good performance,medical image database,dominant direction histogram,content-based medical image retrieval,non-directional texture image,image texture,content-based retrieval,nondirectional texture images,medical image processing,texture characteristic extraction,dominant directions,spectrum,co occurrence matrix,histograms,biomedical imaging,biomedical engineering,data mining,statistical analysis,fuzzy set theory,frequency domain analysis
Histogram,Computer vision,Texture compression,Pattern recognition,Bidirectional texture function,Image texture,Computer science,Medical imaging,Euclidean distance,Image retrieval,Artificial intelligence,Texture filtering
Conference
Volume
ISSN
ISBN
2
1948-2914
978-0-7695-3118-2
Citations 
PageRank 
References 
2
0.35
5
Authors
4
Name
Order
Citations
PageRank
Gang Zhang1189.28
Z. M. Ma260166.24
Ying He320.35
Tie-Nan Zhao420.69