A parallel implementation on CM5 of a multi-spectral cooperative segmentation

The paper focuses on the problem of the multi-spectral image segmentation, which leads-through the data fusion of several mono-spectral images-to reliable and robust vision systems for military or industrial purposes. The proposed approach does not fit the classical taxonomy of image data fusion methods: indeed, data fusion is performed during the segmentation, in parallel, of different images. The presented algorithm has been implemented on the Connection Machine CM5 with the data programming style.<>