針對(duì)傳統(tǒng)參數(shù)活動(dòng)輪廓模型存在對(duì)輪廓線初始位置敏感的缺點(diǎn)，提出了方向氣球力活動(dòng)輪廓模型并應(yīng)用于MRI 圖像分割。該模型利用底層圖像分割的結(jié)果確定外力的方向，使氣球力方向始終指向目標(biāo)邊界，引導(dǎo)輪廓線變形。當(dāng)輪廓線運(yùn)動(dòng)到目標(biāo)邊界附近時(shí)，在高斯勢(shì)力作用下繼續(xù)變形，完成圖像高層分割。實(shí)驗(yàn)結(jié)果表明,該模型與輪廓線初始位置無關(guān)，能實(shí)現(xiàn)MRI 圖像的自動(dòng)分割。
關(guān)鍵詞: 圖像分割; 方向氣球力; 活動(dòng)輪廓模型; 高斯勢(shì)力
Abstract: Traditional parametric active contour model is sensitive to the initial position. An improved external force for the active contour, called directional balloon force is proposed to address problem associated with initialization and is used to segment MRI images. In this model the direction of the force is decided by the results of low-level segmentation and always points to object boundary to make the contour deform. In the vicinity of object boundary, Gaussian potential force drives the contour towards boundary and high-level segmentation is implemented. The experiments of segmenting left ventricle MRI images show that this model be independent of the initial position and can segment image automatically.
Key words: image segmentation; directional balloon force; active contour model; Gaussian potential force