多目标显著性区域提取算法

结合对象估计和超像素分割，提出面向多目标的显著性区域提取算法.首先，应用对象估计对图像中的多目标作初步检测，得到若干个显著性区域的初步结果;然后，再将这些显著性区域与超像素分割的结果作图像拼接，完善这些显著性区域;最后，将图像拼接的结果二值化，作为多目标显著性区域提取的最终结果.结果表明:所提算法可实现面向多目标的显著性区域提取.与3个经典算法的比较结果表明:所提算法在面向多目标显著性区域提取时更优.

Salient Region Extraction Algorithm for Multi-target

Combining object estimation and super-pixel segmentation， a salient region extraction algorithm for multi-target was proposed. First， object estimation was used to make a preliminary extraction of multi-target in image， and the preliminary results of several salient regions were obtained. Then， these several salient regions were concatenated with the results of super-pixel segmentation to complete the saliency extraction. Finally， the concatenated regions were binarized as the final results of salient region for multi-target. The results showed that the proposed algorithm can achieve multi-target salient region extraction. The comparison with three classical algorithms indicated that the proposed algorithm is better when it is faced with salient region extraction for multi-target.