The emerging MPEG-7 standard embodies a visual descriptor that will be associated with the dominant colors of an image. In this contribution, a threshold adaptation method for region based image and video segmentation that takes the advantage of the MPEG7 dominant color descriptor is presented. This method enables assignment of region growing parameters without any low-level processing. In the standard, the dominant colors proposed to be extracted by clustering of color histograms. This property is used to determine color homogeneity that is formulated into Lorentzianbased color distance norm and corresponding thresholds. The proposed algorithm is compared with other region growing algorithms, and results show that the threshold adaptation performs faster and more robust.