摘要
针对全局图像特征不能有效刻画彩色图像内容信息的问题,提出了一种基于兴趣点的彩色图像特征检索方法。首先基于仿射-尺度不变特征转换(ASIFT)算法,利用亮度概率密度梯度进行兴趣点提取;然后将提取后的兴趣点映射回原图像,构建颜色直方图作为图像的特征;最后通过计算不同图像特征间的相似度进行图像检索。仿真实验证明,该方法能够充分地提取图像中的角点、边缘点和这些点的周围点,较好地表达图像的内容,最终得到比较理想的检索结果。
To solve the problem of global image features can not express the semantic information of image very well, a new image retrieval algorithm based on interest points is presented. Firstly, it extracts the interest points by using ASIFT and the density gradient. Secondly, it maps these interest points to the original image and extracts the image feature. Finally, it computes the similarity of features and gets the result of image retrieval. The experiment results show that this method canimproves the accuracy of image retrieval effectively.
出处
《微型机与应用》
2014年第13期32-34,37,共4页
Microcomputer & Its Applications
