计算机科学 ›› 2014, Vol. 41 ›› Issue (8): 281-285.doi: 10.11896/j.issn.1002-137X.2014.08.059
梁晔,刘宏哲,于剑
LIANG Ye,LIU Hong-zhe and YU Jian
摘要： BoF特征是目前应用最广泛的图像表示方法。针对BoF特征编码简单、缺乏空间信息的缺点,对传统BoF流程中的特征编码和特征汇集阶段进行改进,提出了用于图像分类的新图像表示方法。首先对图像进行了基于多环划分的特征汇集的区域选择,嵌入了更多的空间信息；其次,根据密采样的特征描述子符合长尾分布的事实以及场景中特征分布比较均匀的特点,提出了适合于场景图像分类的多视觉词硬编码的编码方法。新的图像表示方法保存了BoF范式的优点,且特征表示更加紧凑、空间信息更加丰富。实验结果证明了所提方法的有效性。
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