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Morphological operations have been an integral part of the enhancement of digital imaging programs, especially for filtering noise to improve the quality of images by utilizing the two most basic morphological operations: erosion and dilation. The main role of dilation is to fill the defined region in an image with pixels, whereas erosion removes pixels from the region. As we know, the methods of erosion followed by dilation, or dilation followed by erosion, are indeed attractive approaches amongst researchers who deal with filtering noise problems. However, these approaches need more computational time and have a high-percentage chance of losing essential pixel area. To cover these issues, this paper introduces a new approach called an adaptive morphological operation to boost the performance of image enhancement. Based on 2011, 2013, 2015, and 2016 weather image datasets collected from the WITH radar installed on the rooftop of the Information Engineering building, University of the Ryukyus, the experimental results confirm that the proposed approach is more efficient than the conventional approaches.