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A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours

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conference contribution
posted on 2023-06-08, 10:49 authored by Omar Al-Kadi
With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet analysis can decompose the input signal into a set of frequency subbands giving the opportunity to characterise the texture at the appropriate frequency channel. An adaptive best bases algorithm for optimal bases selection for meningioma histopathological images is proposed, via applying the fractal dimension (FD) as the bases selection criterion in a tree-structured manner. Thereby, the most significant subband that better identifies texture discontinuities will only be chosen for further decomposition, and its fractal signature would represent the extracted feature vector for classification. The best basis selection using the FD outperformed the energy based selection approaches, achieving an overall classification accuracy of 91.25% as compared to 83.44% and 73.75% for the co-occurrence matrix and energy texture signatures; respectively.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Proceedings of the 16th IEEE International Conference on Image Processing (ICIP); Cairo, Egypt; 7 Nov - 11 Nov 2009

ISSN

1522-4880

Publisher

Institute of Electrical and Electronics Engineers

Page range

4125-4128

Pages

4.0

Event name

2009 IEEE International Conference on Image Processing

Event location

Cairo, Egypt

Event type

conference

Event date

07 Nov - 11 Nov 2009

ISBN

9781424456536

Department affiliated with

  • Informatics Publications

Notes

© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2012-05-15

First Open Access (FOA) Date

2018-03-20

First Compliant Deposit (FCD) Date

2018-03-20

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