Title :
Segmentation approach using local image statistics
Author :
Mendonca, A.P. ; da Silva, E.A.B.
Author_Institution :
IME/COPPE, CEP, Rio de Janeiro, Brazil
fDate :
7/6/2000 12:00:00 AM
Abstract :
An efficient segmentation technique is described that uses local application of the K-means method with feature vectors based on image statistics. It requires little computational effort and works well for different classes of images, comparing favourably to others in the literature
Keywords :
computer vision; data compression; image coding; image segmentation; statistical analysis; K-means method; computational effort; computer vision; feature vectors; image compression; image segmentation approach; image statistics; local image statistics;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20000869
