Title :
Neural techniques for image segmentation
Author :
Marsella, Marco ; Miranda, Sergio
Author_Institution :
Dipartimento di Ingegneria dell´´Inf. e Matematica Appl., Salerno Univ., Italy
Abstract :
We present new neural techniques including unsupervised technology and fuzzy logic foundations. We realized a hybrid neural network and applied three different unsupervised learning algorithms that we developed specially for it: fuzzy MLSOM, fuzzy hierarchical “neural gas” and fuzzy hierarchical “maximum entropy”. The experiments presented deal with image segmentation. The results obtained show that neural networks are a valid instrument for image processing and shape recognition
Keywords :
computer vision; fuzzy neural nets; image recognition; image segmentation; self-organising feature maps; unsupervised learning; fuzzy MLSOM; fuzzy hierarchical maximum entropy; fuzzy logic; fuzzy neural networks; image segmentation; shape recognition; unsupervised learning; Artificial neural networks; Entropy; Fuzzy logic; Fuzzy neural networks; Image processing; Image segmentation; Instruments; Neural networks; Neurons; Pixel;
Conference_Titel :
Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-8548-4
DOI :
10.1109/IJSIS.1998.685477
