旋转不变空间金字塔匹配图像分类

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) Pub Date : 2015-11-01 DOI:10.1109/DICTA.2015.7371303

Priyabrata Karmakar, S. Teng, Guojun Lu, Dengsheng Zhang

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引用次数: 9

摘要

提出了一种新的空间金字塔表示方法用于图像分类。与传统的空间金字塔方法不同，该方法不受图像旋转变化的影响。这种方法的工作原理是将图像划分成同心矩形，并将它们组织成金字塔。然后使用视觉词的直方图表示每个金字塔区域。实验结果表明，该方法明显优于传统方法。

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Rotation Invariant Spatial Pyramid Matching for Image Classification

This paper proposes a new Spatial Pyramid representation approach for image classification. Unlike the conventional Spatial Pyramid, the proposed method is invariant to rotation changes in the images. This method works by partitioning an image into concentric rectangles and organizing them into a pyramid. Each pyramidal region is then represented using a histogram of visual words. Our experimental results show that our proposed method significantly outperforms the conventional method.

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来源期刊

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

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