This paper describes a hierarchical algorithm for multi- resolution texture-based image enhancement for segmentation performance. The proposed algorithm is a modification of the steerable pyramid algorithm that has been successfully implemented for research in texture synthesis. We investigate in this paper the application of such a multiscale approach for image analysis to the problem of image enhancement for segmentation. We present the application of the proposed algorithm to two medical images as a first exploration of the potential benefits of the approach. While some quantitative measure of assessment needs ultimately to be developed for performance assessment, some subjective evaluation at this early stage of the research can provide early feedback on the magnitude of a potential benefit. While the early results presented in this paper are encouraging, it is yet to be demonstrated that the proposed algorithm or an optimized version of the algorithm yields increased performance compared to other techniques.