中国光学2023，Vol.16Issue(3)：715-725,11.DOI:10.37188/CO.EN-2022-0021
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
摘要
Abstract
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 trans-form,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 al-gorithm 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 high-er than those of existing methods.关键词
织物图像检索/小波变换/分形编码/Zernike矩Key words
fabric image retrieval/wavelet transform/fractal coding/Zernike moment分类
信息技术与安全科学引用本文复制引用
张琴,曹一青..小波变换下基于分形编码和Zernike矩的织物图像检索算法[J].中国光学,2023,16(3):715-725,11.基金项目
国家青年科学基金项目(No.62205168) （No.62205168）
福建省中青年教师教育科研项目(No.JAT200534)Supported by National Youth Science Foundation of China(No.62205168) （No.JAT200534）
Project of the Young and Middle-aged Teachers'Education Research Projects of Fujian Province of China(No.JAT200534) （No.JAT200534）
