Single Object Shape Based Image Retrieval using Zernike Moments
Suraya Abu Bakar, Muhammad Suzuri Hitam, Wan Nural Jawahir Hj Wan Yussof
Journal of Data Processing, Vol. 3, No. 1, 2013.
DOI: 
Link: http://www.dline.info/jdp/fulltext/v3n1/2.pdf
Abstract:
An important issue to be solved in object recognition is how to represent an object so that a computer vision system is able to recognize it regardless of their shapes, sizes, position and orientation. In this paper we propose a shape based image retrieval based on Zernike Moments as shape descriptor for retrieval of single binary object from image database. To test the robustness of Zernike Moments, MPEG-7 image database is used. Our experimental investigations confirm that Zernike Moment properties are invariant to rotation, and translation with low sensitivity to noise, however is not invariant to scale.