We propose a hybrid segmentation algorithm by using edge- and region-based methods. Initial segmentation is produced by multi-spectral watershed transformation. The iteration of region merging is controlled by local spectral angle thresholds. We test the method performance by segmenting three images from different sensors. The success in three segmentation applications ensures the method transferability.