应用全方向形状特征码的图像检索方法

Image retrieval based on the omnidirectional shape feature code

摘要:

为提高图像形状信息的检索准确率和效率，提出应用全方向形状特征码的图像检索方法.该方法在全方向上对形状进行分割，度量形状各方向各部分的复杂度，构建形状的全方向特征码，计算形状间的相似度.通过真实建筑形状数据集和MPEG-7 CE-1 Part B形状数据集对本方法进行了检索性能测试，并和其他形状相似性描述方法进行了对比.实验结果表明，本方法具有更高的检索准确率和较高的检索效率.全方向形状特征码图像检索方法可以准确描述形状的全局特征与局部特征，具有平移、旋转、尺度不变性，及较强的形状描述识别能力.

Abstract:

To improve retrieval accuracy and efficiency of the image shape information, this paper proposes an image retrieval method based on the omnidirectional shape feature code. This method segments the shape omnidirectially, measures the shape complexity of every direction and part, constructs the omnidirectional feature codes of the shape, and calculates the similarity of shapes. The actual structure shape data set and MPEG-7 CE-1 Part B shape data set are used to test the retrieval performance of this method, and this method is compared with other description methods of shape similarity. Experimental results show that this method has higher retrieval accuracy and efficiency. The image retrieval method based on the omnidirectional shape feature code can describe exactly global features and partial features of the shape. This method is invariant to translation, rotation, scaling, and strong ability to describe and recognize the shape.