کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
527132 | 869291 | 2011 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A novel contour descriptor for 2D shape matching and its application to image retrieval A novel contour descriptor for 2D shape matching and its application to image retrieval](/preview/png/527132.png)
We suggest a novel shape contour descriptor for shape matching and retrieval. The new descriptor is called contour points distribution histogram (CPDH) which is based on the distribution of points on object contour under polar coordinates. CPDH not only conforms to the human visual perception but also the computational complexity of it is low. Invariant to scale and translation are the intrinsic properties of CPDH and the problem of the invariant to rotation can be partially resolved in the matching process. After the CPDHs of images are generated, the similarity value of the images is obtained by EMD (Earth Mover's Distance) metric. In order to make the EMD method used effectively for the matching of CPDHs, we also develop a new approach to the ground distance used in the EMD metric under polar coordinates. Experimental results of image retrieval demonstrate that the novel descriptor has a strong capability in handling a variety of shapes.
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Journal: Image and Vision Computing - Volume 29, Issue 4, March 2011, Pages 286–294