关键词: 图像检索, 概率密度, 兴趣点特征, 仿射尺度不变特征转换

Abstract:

For the global image feature could not describe the image category information, we proposed an image feature retrieval method based on interest points features. Firstly, we converted the image to affine scale invariant feature, and used the probability density gradient to extract the interest point. Secondly, we mapped these interest points back to the orginal image, and used the color histogram as the image feature. Finally, we used similarity measure model to realize image retrieval, and selected the image of the Corel image database to analyze the performance of the algorithm. The experimental results show that this method can effectively improve the accuracy and efficiency of image retrieval, and quickly find the user need image.

Key words: image retrieval, probability density, interest point feature, affine scale invariant feature transform (ASIFT)