小波变换下基于分形编码和Zernike矩的织物图像检索算法  

Fabric image retrieval algorithm based on fractal coding and Zernike moment under the wavelet transform

作　　者：张琴[1] 曹一青 ZHANG Qin;CAO Yi-qing(School of Mechatronics and Information Engineering,Putian University,Putian 351100,China)

机构地区：[1]莆田学院机电与信息工程学院,福建莆田351100

出　　处：《中国光学（中英文）》2023年第3期715-725,共11页Chinese Optics

基　　金：Supported by National Youth Science Foundation of China (No. 62205168);Project of the Young and Middleaged Teachers’ Education Research Projects of Fujian Province of China (No. JAT200534)。

摘　　要：为帮助纺织企业的工作人员快速、准确地从数据库中检索出与织物图像相同或相似的图像,提出了一种小波变换下基于分形编码和Zernike矩的织物图像检索算法。首先,利用小波变换获得低频分量,对变换后的低频子图进行分形编码,得到编码参数。然后,计算低频子图像的Zernike矩。将小波变换下的分形编码参数和Zernike矩相结合作为织物图像检索的特征量。相比于单特征检索方法,该算法克服了精度低、耗时长的问题。与基本分形算法(BFIC)、联合正交分形参数和改进的Hu不变矩算法(HVKF)以及稀疏分形图像压缩算法(SFIC)相比,该算法确保了重建图像的质量和较低的编码时间。实验结果表明,织物图像检索的平均精度和平均召回率均高于现有的检索方法。A fabric image retrieval algorithm based on fractal coding and Zernike moments under a wavelet transform is proposed,which can quickly and accurately retrieve images from a database that are similar to fabric images submitted for retrieval.Firstly,the low-frequency component is obtained by a wavelet transform,and the transformed low-frequency sub-image is fractally encoded to obtain its coding parameters.Then,the Zernike moment of the low-frequency sub-image is calculated.The fractal coding parameters and Zernike moment under a wavelet transform are combined as the fabric image retrieval characteristic.The algorithm overcomes the problems of low retrieval accuracy and the high time consumption of direct feature extraction under a single feature.Compared with the Basic Fractal Image Compression(BFIC)algorithm,the joint orthogonal fractal parameters with the improved Hu invariant moment and Variable bandwidth Kernel density estimation of Fractal parameters(HVKF)algorithm and the Sparse Fractal Image Compression(SFIC)algorithm,the proposed algorithm ensures the quality and lower encoding time of the reconstructed image.The experiments show that the average precision and average recall of fabric image retrieval are higher than those of existing methods.

关 键 词：织物图像检索 小波变换 分形编码 ZERNIKE矩 

分 类 号：TN919.81[电子电信—通信与信息系统]