International Journal of Computer Vision
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Self-organizing maps
Polynomial-time solutions to image segmentation
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
SOM Ensemble-Based Image Segmentation
Neural Processing Letters
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Heart cavity detection in ultrasound images with SOM
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Identifying Regions of Interest in Medical Images Using Self-Organizing Maps
Journal of Medical Systems
Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies
Applied Soft Computing
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Image segmentation plays an important role in image retrieval system. In this paper, a method for segmenting images based on SOM neural network is proposed. At first, the pixels are clustered based on their color and spatial features, where the clustering process is accomplished with a SOM network. Then, the clustered blocks are merged to a specific number of regions. Experiments show that these regions could be regarded as segmentation results reserving some semantic means. This approach thus provides a feasible new solution for image segmentation which may be helpful in image retrieval.