Agglomerative clustering of feature data for image segmentation

We propose an image segmentation model using an agglomerative clustering technique. The clustering is performed within a feature matrix where intensity and boundary relations are defined between neighboring segments. The iterative segment agglomeration process satisfies a cluster aggregation property and does not utilize a priori knowledge of the number of clusters present in the image. The performance of the algorithm is demonstrated on a number of color images and compared with a similar algorithm.