CAJ | 학술논문

为了克服VFC(vector field convolution) Snake模型对图像弱边界的泄露问题,对其作了两点改进:a)重新定义了向量场核的模,有效降低了VFC外力对向量模参数的敏感性;b)综合利用VFC外力和图像势能力,给出动态VFC外力.随着模型曲线的形变,不断调整外力,使得曲线精确定位到目标边界上.最后通过实验证明了改进后的VFC Snake模型对噪声具有鲁棒性、对参数变化不敏感,且能够收敛到图像弱边界处.
위료극복VFC(vector field convolution) Snake모형대도상약변계적설로문제,대기작료량점개진:a)중신정의료향량장핵적모,유효강저료VFC외력대향량모삼수적민감성;b)종합이용VFC외력화도상세능력,급출동태VFC외력.수착모형곡선적형변,불단조정외력,사득곡선정학정위도목표변계상.최후통과실험증명료개진후적VFC Snake모형대조성구유로봉성、대삼수변화불민감,차능구수렴도도상약변계처.
In order to alleviate the weak edges leakage problem of the VFC(vector field convolution) Snake model, improved two points. First, redefined the magnitude of the vector field kernel, which reduced the sensitivity between the capture range of the external forces and the change of parameter. Second, proposed a dynamic force, the combination of the VFC force field with the potential force field. At last, exampled the segmentation of a head MRI image and compared the performance about the GVF、the VFC and the improved VFC. Experiments demonstrate the improved VFC model is superior noise robustness and parameters bluntness and converge to the object boundary accurately.