The normalized wavelet descriptor for shape retrieval
In many image analysis applications, such as image retrieval, the shape of an object is of primary importance. In this paper, a new shape descriptor, namely the Normalized Wavelet Descriptor ( NWD), which is a generalization and extension of the Wavelet Descriptor ( WD), is introduced. The NWD is compared to the Fourier Descriptor ( FD), which in image retrieval experiments conducted by Zhang and Lu, outperformed even the Curvature Scale Space Descriptor ( CSSD). Image retrieval experiments have been conducted using a dataset containing 2D- contours of 1400 objects extracted from the standard MPEG7 database. For the chosen dataset, our experimental results show that the NWD outperforms the FD.
descriptor shape fourier transform wavelet transform