一种定义感兴趣局部显著特征的新方法及其在遥感影像检索中的应用

提出一种定义感兴趣局部显著特征的新方法。首先根据注意力转移机制,采用迭代法提取注意焦点作为局部显著点,根据Canny边缘图与显著图的融合提取显著边缘点;然后提取显著点的色调、纹理及边缘点的方向直方图特征,用于表征兴趣目标的局部细节和轮廓信息。该方法强调影像中的显著对象,既提高了处理效率又符合人类视觉感知特性,提高了对不同影像内容的适应性。

A New Approach for Interesting Local Saliency Features Definition and Its Application to Remote Sensing Imagery Retrieval

A novel local saliency features of interest extraction algorithm based on visual saliency measurement theory is provided.Firstly,the focuses of attention are extracted by an iteration process,which is fitted to the attention shift mechanism.Then,we treat it as local saliency points,and the saliency edge points are got according to the combination of Canny edge graph and saliency map.After that we employ main hue,texture features of saliency points and edge orientation histogram features of edge points as feature vector for interesting objects representation.This algorithm emphasizes the salience areas in the scene,so that it can improve process efficiency and fit to human visual perceptual characteristic,otherwise this multi-channel feature describe method ensure the algorithm’s adaptive to various scenes.