DocumentCode
1811685
Title
Segmentation of echocardiographic images
Author
Dipanda, A. ; Neveu, M. ; Plantamp, D. ; Dusserre, L.
Author_Institution
Lab. d´´Inf. Med., CHRU de Dijon, France
fYear
1988
fDate
14-17 Nov 1988
Firstpage
1255
Abstract
Several texture analysis methods are studied, leading for each image region to a condensed textural information vector determined by stepwise discriminant analysis. Image segmentation is performed by split and merge, using a classification based on the Mahalanobis distance. More than 90% of the regions are well classified
Keywords
biomedical ultrasonics; cardiology; computerised pattern recognition; Mahalanobis distance; biomedical ultrasonics; cardiology; classification; computerised pattern recognition; condensed textural information vector; echocardiographic images; image segmentation; stepwise discriminant analysis; texture analysis; Histograms; Image analysis; Image edge detection; Image segmentation; Image texture analysis; Information analysis; Integrated circuit noise; Noise shaping; Performance analysis; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28485
Filename
28485
Link To Document