针对现有图像分割模型对光照敏感,提出一种新的基于区域的主动轮廓线模型。
This paper proposes a new region-based active contour for existing images segmentation model to light-sensitive.
主动轮廓线模型引入高层知识,在处理局部间断的边缘时,具有优于传统轮廓提取方法的提取效果。
With the introduction of high level information, Snake model has more satisfactory effects than what gained by the traditional method when dealing with disconnected edges in the image.
几何主动轮廓线模型是一种有效的图像分割方法。但对于被噪声严重干扰的目标依然很难准确分割。
Geodesic active contour is a useful image segmentation method, but it may fail to segment the objects disturbed by complex noises.
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