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.
用该方法对实验环境照度下捕捉的图像和红外光源辅助照明的图像进行了分析，并与主动轮廓线方法对比。
The proposed method is applied to the visible-light image and IR-illuminated image in the experimental condition, and contrasted with a method based on active contour.
为了改进主动轮廓线模型求解过程中轮廓线初始位置的敏感性，通常要采用一些方法扩大图像力的作用域。
To improve the active contour model's sensitivity to its initial position, some methods must be applied to widen the image force scope.
对动态图像的仿真实验表明，改进后的主动轮廓线模型能很好地收敛到物体的凹陷边界，且具有良好的抗噪性。
The simulative experiment of dynamic image shows that the boundary of a hollow object can be well reached in the improved active contour model, and the model has a good anti-noise property.
对动态图像的仿真实验表明，改进后的主动轮廓线模型能很好地收敛到物体的凹陷边界，且具有良好的抗噪性。
The simulative experiment of dynamic image shows that the boundary of a hollow object can be well reached in the improved active contour model, and the model has a good anti-noise property.
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