基于形态特征提取的图像匹配搜索技术研究
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摘要
传统的图像搜索方法一般是由图像处理软件自动抽取图像的颜色、形状、纹理等特征,并以此建立特征索引库,进而由用户输入要查找的物品图像,从而找出与之具有相近特征的图像。而文中给出了从数学形态学的角度来提取图像的关键形态特征,然后建立海量物品图片的形态细化骨架库,并以此简化图像搜索的关键内容,降低数据库存储量,提高匹配效率以及准确性的具体方法。
The traditional image search method is generally performed by image processing software for automatic extraction of image color, shape, texture and other characteristics to establish the feature index database and find out the needed images with similar features according to the sample images users input. A method to extract the key morphological feature according to the mathematical morphology is introduced in this paper, in which the morphological skeleton thinning database of massive goods is established in order to simplify the image search key content, reduce the database storage, and improve the matching efficiency and accuracy.
The traditional image search method is generally performed by image processing software for automatic extraction of image color, shape, texture and other characteristics to establish the feature index database and find out the needed images with similar features according to the sample images users input. A method to extract the key morphological feature according to the mathematical morphology is introduced in this paper, in which the morphological skeleton thinning database of massive goods is established in order to simplify the image search key content, reduce the database storage, and improve the matching efficiency and accuracy.
引文
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[2]解凯,郭恒业,张田文.图像Mosaic技术综述[J].电子学报,2004,32(4):630-633.
[3]MINDRU F,TUYTELAARS T,VAN GOOL L,et al.Moment i nva r ia nt s for re cog n it ion u nde r cha ng i ng v iew poi nt a nd illumination[J].Computer Vision and Image Understanding,2004,94:3-27.
[4]赵辉,陈辉,于泓.一种改进的全景图自动拼接算法[J].中国图像图形学报.2007,12(2):336-342.
[5]李寒,牛纪桢,郭禾.基于特征点的全自动无缝图像拼接方法[J].计算机工程与设计,2007,28(9):2083-2085.
[6]杨博雄,柳林,秦前清.基于形态小波的地震数据压缩方法研究[J].武汉大学学报;信息科学版,2011,36(7):785-788.
[7]HARALICK R M,STERNBERG S R,ZHUANG X.Image analysis using mathematical morphology[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1987,9(4):532-550.
[8]SERRA J.Image analysis and mathematical morphology[M].Orlando,FL,USA:Academic Press,Inc,1983.
[9]Serra J.Introduction to mathematical morphology:computer vision[J].Graphics,and Image Processing,1986,35(3):283-305.
[10]ZHUANG X,HAR ALICK R M.Mor phological str ucturing element decomposition:computer vision[J].Graphics,and Image Processing,1986.35(3):370-382.
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