Title :
Gray image segmentation on MEBML frame
Author_Institution :
Comput. Center, Taiyuan Univ. of Technol., China
Abstract :
A segmentation technique of gray images is built on the framework of MEBML (mind-evolution-based machine learning). Both gray-level homogeneity and geometric connection of pixels are measured in the method, and it is more sophisticated than ordinary thresholding techniques
Keywords :
geometry; image segmentation; learning (artificial intelligence); optimisation; MEBML; geometric connection; gray image segmentation; gray-level homogeneity; mind-evolution-based machine learning; Erbium; Histograms; Humans; Image processing; Image recognition; Image segmentation; Learning systems; Machine learning; Optimization methods; Pixel;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.859933
