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      1. 超聲醫學圖像濾波方法的對比研究
        來源: | 作者: | 發布時間:2014-4-15 18:17:39

        超聲醫學圖像濾波方法的對比研究
        馬潤霞,丁明躍,張旭明,邱武
        基金項目:高等學校博士學科點專項科研基金(20070487056),中國博士后科研基金(20100480906)
        作者簡介:馬潤霞(1987-),女,碩士,醫學圖像處理
        通信聯系人:丁明躍(1961-),男,教授,醫學影像,三維醫學超聲成像,圖像導引手術與治療,電阻抗成像技術研究,計算機視覺,三維重建,航跡規劃,圖像天候模型研究.
        (華中科技大學生命科學與技術學院,武漢 430074)
        摘要:選擇基于個數判斷脈沖噪聲的中值濾波、小波濾波、擠壓箱式濾波器和同態濾波器四種濾波方法對超聲圖像進行濾波處理,通過五種客觀的量化評價參數:圖像優度、最小絕對誤差、邊緣保護系數、噪聲抑制量化參數、信號與最小均方誤差之比對這四種濾波方法進行評價。從而為后續超聲圖像的分割、病灶特征提取以及臨床診斷、治療等用途提供一個客觀的濾波評價指導。
        關鍵詞:超聲圖像;斑點噪聲;濾波方法;量化參數
        中圖分類號:TP391.41
        Comparative Study on Filter Methods of Medical Ultrasound Images
        Ma Runxia, Ding mingyue, Zhang Xuming, Qiu Wu
        (School of Life Science and Technology,Huazhong University of Science and Technology,Wuhan 430074)
        Abstract: In this paper four medical ultrasound image filter methods are compared: median filter based on number of impulse noise, wavelet filter, and squeeze box filter and homomorphic filter, using five objective evaluation parameters: figure of merit, least absolute error, peak signal-to-noise ratio, edge protection factor, quantitative parameters of despeckling, signal-to-minimum mean square error ratio. The comparative study will provide a good guidance for selecting a suitable filter for ultrasound image processingas well as for the follow-up segmentation, feature extraction and lesion diagnosis and clinic
        treatment.
        Key words: ultrasound images; speckle noise ; filter methods; evaluation parameters

        奇米色8888