DocumentCode
1936115
Title
Pitfalls in using Dual Tree Complex Wavelet Transform for texture featuring: A discussion
Author
Costin, M. ; Ignat, A.
Author_Institution
Inst. of Comput. Sci., Romanian Acad., Iaşi, Romania
fYear
2011
fDate
19-21 Sept. 2011
Firstpage
1
Lastpage
6
Abstract
Dual Tree Complex Wavelet Transforms (DTCWT) have arisen a lot of interest in the last decade. With the possibility of computing characteristics which are rotation invariable and respond well to oscillations around singularities, shift variance, aliasing and the lack of directionality, DTCWT is an interesting tool to be analyzed and employed in a lot of stages of image processing, (among them being texture featuring). Characteristics that are well observable with the human eye, have to be scaled and transformed, in order to be compared and measured under the similarity aspects. A discussion and technical remarks on these aspects are presented, to well understand them, avoiding strange pitfalls.
Keywords
feature extraction; image texture; oscillations; trees (mathematics); wavelet transforms; DTCWT; directionality; dual tree complex wavelet transform; human eye; image aliasing; image processing; oscillations; shift variance; texture features; Correlation; Databases; Entropy; Rotation measurement; Wavelet transforms; Weaving; Dual Tree Complex Wavelet Transform; Wavelet Transform; texture database; texture features; texture identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing (WISP), 2011 IEEE 7th International Symposium on
Conference_Location
Floriana
Print_ISBN
978-1-4577-1403-0
Type
conf
DOI
10.1109/WISP.2011.6051714
Filename
6051714
Link To Document