Image Zernike Moments Shape Feature Evaluation Based on Image Reconstruction

被引：19

作者：

Liu Maofu ^{[1
]}

He Yanxiang ^{[1
]}

Ye Bin ^{[1
]}

机构：

[1] Wuhan Univ Sci & Technol, Coll Comp Sci & Technol, 947 Heping Rd, Wuhan 430081, Hubei, Peoples R China

来源：

GEO-SPATIAL INFORMATION SCIENCE | 2007年 / 10卷 / 03期

关键词：

feature evaluation; Zernike moment; image reconstruction; reconstruction ratio;

D O I：

10.1007/s11806-007-0060-x

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

The evaluation approach to the accuracy of the image feature descriptors plays an important role in image feature extraction. We point out that the image shape feature can be described by the Zernike moments set while briefly introducing the basic concept of the Zernike moment. After talking about the image reconstruction technique based on the inverse transformation of Zernike moment, the evaluation approach to the accuracy of the Zernike moments shape feature via the dissimilarity degree and the reconstruction ratio between the original image and the reconstructed image is proposed. The experiment results demonstrate the feasibility of this evaluation approach to image Zernike moments shape feature.

引用

页码：191 / 195

页数：5

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