Self-Organizing Maps
Digital Image Processing
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Speckle reducing anisotropic diffusion
IEEE Transactions on Image Processing
Edge detection in ultrasound imagery using the instantaneous coefficient of variation
IEEE Transactions on Image Processing
Adaptive color segmentation-a comparison of neural and statistical methods
IEEE Transactions on Neural Networks
Color clustering and learning for image segmentation based on neural networks
IEEE Transactions on Neural Networks
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Ultrasound images are characterized by high level of speckle noise causing undefined contours and difficulties during the segmentation process. This paper presents a novel method to detect heart cavities in ultrasound images. The method is based on a Self Organizing Map and the use of the variance of images. Successful application of our approach to detect heart cavities on real images is presented.