Improved Minkowsky Metric for Image Region Partition

Abstract

In this paper we present an improved method for image partition. Image partition plays an important role in video segmentation techniques; it uses different region growth algorithms for separating an image into regions and objects. This enhances the characterization on an image using video descriptors and can be used in image retrieval or image comparison applications. The proposed segmentation method uses the Minkowsky metric for region detection. In addition, it uses different threshold values in order to achieve perceptually significant areas. The simulation results indicate good performances of the proposed method for colour image segmentation.