Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Classification by Wavelet Packet Signatures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image content search by color and texture properties
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
A robust automatic clustering scheme for image segmentation using wavelets
IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames
IEEE Transactions on Image Processing
A methodology for deriving objective image comparison metrics
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Hi-index | 0.00 |
In this paper, we proposed a method to evaluate the similarity of images compressed by a given digital wavelet transform, which allows for comparing lossless-or-lossy-compressed images. Two features that describe the image structural content, edge point locations and edge density, are computed directly from multiscale data. Depending on the image type and the feature selections for processing, the distance between two images is computed in one- or two-dimensional space. This method facilitates content-based image querying and automatic database retrieval. In addition, images can be sorted and appropriately indexed with respect to such global characteristics as smoothness, texture direction and repetition period.