Title :
Segmentation of echocardiographic images
Author :
Dipanda, A. ; Neveu, M. ; Plantamp, D. ; Dusserre, L.
Author_Institution :
Lab. d´´Inf. Med., CHRU de Dijon, France
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;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28485
