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本文算法對原圖像進行快速Mallat小波分解得到骨干圖后,利用其高頻子帶梯度信息優(yōu)化邊的權(quán)重,并在概率閾值的準則下對爭議區(qū)域做進一步劃分,最后把最大到達概率所在類的標簽賦予未標定頂點,并擴展到原圖像,得到分割邊界.用微軟GrabCut分割數(shù)據(jù)庫圖像和實際DR圖像對該算法進行了驗證,該算法能快速而有效地分割出特定的圖像,適用于DR圖像的分割,為進行組織增強和進一步提高DR圖像質(zhì)量打下基礎(chǔ).

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