图像分割是图像分析的必须步骤，提出一种利用显著边界点和局部化区域型轮廓模型将显著性目标从自然图像中自动分割的新颖模型。首先通过颜色提升的Harris算子得到显著的边界点，其次提出核心显著图从显著边界点中得到目标种子点，然后目标显著边界点由这些种子点确定，最后目标显著边界点作为凸包的种子点产生初始轮廓。大型的自然图像库的实验结果令人满意。

Image segmentation is an essential step in image analysis.A novel model was proposed for unsupervised segmentation of viewers attention object from natural images by using salient object edge points and localizing regionbased active model (LRAC).The salient edge points were firstly detected by the color boosting Harris detector.The core saliency map was then proposed to obtain the foreground seeds from the salient edge points.Thenthe salient object edge points were determined by the foreground seeds.Finallythe salient object edge points were employed as the seeds of convex hull to generate the initial contour for our automatic object segmentation system.Extensive experiments results on a large variety of natural images prove that the proposed model can provide satisfactory segmentation performance.