Title
Content based thermal images retrieval
Abstract
INDT (Infrared Nondestructive Testing) inspections produce large sets of thermal images. The thermal images obtained must be stored to do comparisons with the results of previous and future inspections generating considerable amounts of data to be analyzed. In this paper, we present a CBIR system based on thermal features and spatial relations among defects in the thermal image to measure the similarity between query and database images affected by non uniform heating and taken from anisotropic material samples.
Year
DOI
Venue
2010
10.1007/978-3-642-13681-8_56
ICISP
Keywords
Field
DocType
thermal feature,thermal image,infrared nondestructive testing,large set,considerable amount,thermal images retrieval,anisotropic material sample,non uniform heating,future inspection,database image,cbir system,spatial relationships,spatial relation,anisotropic material,nondestructive testing,infrared
Spatial relation,Computer vision,Thermal,Pattern recognition,Computer science,Nondestructive testing,Artificial intelligence,Infrared,Content-based image retrieval
Conference
Volume
ISSN
ISBN
6134
0302-9743
3-642-13680-X
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Hernán Darío Benítez100.34
Gloria Inés Alvarez2235.01