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基于感兴趣区域的图像检索方法 被引量:1

Region of Interest Based Image Retrieval
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摘要 提出了一种基于感兴趣区域的图像检索方法。在显著度图和相对位置指示图的基础上结合图像的颜色纹理信息,采用基于子区域的区域生长法提取图像感兴趣区域,对图像的特征描述采用感兴趣区域特征和图像整体特征相结合的方法,加入了对图像背景信息的考虑,同时也削弱了分割不准确带来的影响。实验证明该方法对于前景较为清晰或背景具有较大面积单色的图像具有较好的检索效果。 A region of interest based image retrieval method has been put forward. Based on the saliency map and relative position map, append to color information, use the subregion based region grow method to pick up the region of interest. For the image character describe, this thesis not only describes the ROI but also describes the holistic character. It can weaken the infection of inaccurate ROI acquisition, enhance the retrieve accurate. After experimented this method is much effective to that images which has obvious contents or that relatively single color images.
出处 《科学技术与工程》 2008年第20期5593-5596,5602,共5页 Science Technology and Engineering
关键词 基于内容的图像检索 感兴趣区域 显著度图 content-based image retrieval regions of interest saliency map
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