Mechanical Design Image Retrieval with Combined Geometrical Features
Fang Naiwei, Lv Xueqiang, Zhang Dan
Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing 100101, China
Abstract：Content-based mechanical design image retrieval is of great importance for the mechanical design industry. According to the general characteristics of mechanical design images, this paper proposes a new retrieval method based on combined geometrical features. Firstly, seven features such as solidity, rectangular degree and so on, are extracted from the shape region of a mechanical design image, all the features easily obtained through computing the perimeter, area,etc, and need no normalization. Secondly, the selected features are combined to determine the shape feature descriptor. The proposed descriptor is then applied in mechanical design image retrieval. The experiments show that the proposed method performs better than Fourier Descriptors and Hu invariant moments in the retrieval of mechanical design images.
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