Study of Zernike Moments and Complex Zernike Moments for Improving Retrieval Accuracy in Shape Based Image Retrieval

Title: Study of Zernike Moments and Complex Zernike Moments for Improving Retrieval Accuracy in Shape Based Image Retrieval
Publisher: Guru Nanak Publications
ISSN: 2278-0947
Series: Volume 2 Issue 2
Authors: Anjali Goyal


Abstract

Retrieval of images on shape basis is required in case of logo, trademark, clip art search. Shape is one of the best criteria to retrieve the images from a large database when color and texture of data comes at secondary place. To extract the features, different techniques are used. Zernike Moments (ZMs) has been most widely used technique in extracting the region based shape features of an image. But retrieval of an accurate image is an issue. In most of the research, emphasis is given only on magnitude of ZMs. Phase component has been ignored. In the paper, complex ZMs based features are compared with the ZMs based features. A comparative study has been made to see the retrieval performance. Angle and magnitude based Distance has been used to see the similarity of images. Shape database of 50 images of 10 different classes is used in the study. Rotational database is generated using these images. It is found that Complex ZMs can capture better features as compared to magnitude based ZMs. The implementation was done in VC++ environment.

Keywords

Magnitude, Phase, Shape based image retrieval (SBIR), Zernike moments.

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