針對一類實時、量大、速度和自動處理要求高的圖像處理任務，研究構造了一種圖像預處理的快速算法RMP和一種基于飽和度閾值方法的彩色圖象去干擾算法。通過比較，表明了該算法不僅處理效果不亞于傳統算子方法，具有快速、簡單、可靠，可有效去除大量不規則背景圖象等優點，而且可以同時完成去噪聲、保細節和銳化邊緣的
任務，實際的海洋湖泊藻類顯微圖像預處理仿真結果進一步顯示了本文算法的實用性和有效性。
關鍵詞： 圖像預處理； RMP 算法；不確定干擾； 海洋湖泊藻類
Abstract: In order to satisfy requisite of real time, speediness and adaptive in a sort of image processing, a fast algorithm and a algorithm based on saturation were investigated and was proposed in this paper. Compared with some algorithms as prewitt，sober，average value filter and median filter, the results indicate that this new algorithm not only can get some merits of speediness, briefness, credibility and so on, but also can removes noises，maintain detail and pick up edge (RMP)at the same time. The experiments of algal in lake and sea show that this algorithm has practicability and validity.
Key words: Image processing; RMP algorithm; uncertain noises; Algal