A local Zernike moment-based unbiased nonlocal means fuzzy C-Means algorithm for segmentation of brain magnetic resonance images.

•A nonlocal and local transform-based method is proposed for MR image segmentation.•Local Zernike moments (LZMs) are used to reduce Rician noise from MR images.•Fuzzy C-means is used to represent nonlocal and LZMs for local information.•A complete framework of the proposed method is explained.•Superior image segmentation performance is demonstrated through detailed experimental analysis.