article · 2007

Image Segmentation Using Wavelet Packet Frames and Neuro-fuzzy Tools

Cited by 21Abstract and details only

Abstract

Abstract — The present article describes a image segmentation technique using M-band wavelet packet frames features. Those wavelet features are evaluated and selected using an efficient neuro-fuzzy feature evaluation techniqu. Both the feature extraction and neuro-fuzzy feature evaluation processes are of unsupervised type. They do not require the knowledge of number and distribution of classes corresponding to various landcovers in remotely sensed images. The effectiveness of the methodology is demonstrated on IRS-1A and SPOT images. Copyright c ○ 2007 Yang’s Scientific Research Institute, LLC. All rights reserved. Index Terms — M-band wavelet packet frames, adaptive basis selection, fuzzy feature evaluation index, neural networks, remotely sensed image I.

Cite this paper

APA 7

Acharyya, M., & Kundu, M. K. (2007). Image Segmentation Using Wavelet Packet Frames and Neuro-fuzzy Tools.

MLA 9

Acharyya, Mausumi, and Malay K. Kundu. “Image Segmentation Using Wavelet Packet Frames and Neuro-fuzzy Tools.” 2007.

Chicago

Acharyya, Mausumi, and Malay K. Kundu. 2007. “Image Segmentation Using Wavelet Packet Frames and Neuro-fuzzy Tools.”

Harvard

Acharyya, M. and Kundu, M.K. (2007) ‘Image Segmentation Using Wavelet Packet Frames and Neuro-fuzzy Tools’.

BibTeX

@article{acharyya2007image,
  title = {{Image Segmentation Using Wavelet Packet Frames and Neuro-fuzzy Tools}},
  author = {Acharyya, Mausumi and Kundu, Malay K.},
  year = {2007}
}

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