Dynamic Biomedical Image Segmentation Based on Wavelet Transform

Zhan Ping Li; Mo Yuan Yang; Long Wang

doi:10.4028/www.scientific.net/AMM.571-572.821

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 571-572Dynamic Biomedical Image Segmentation Based on...

Dynamic Biomedical Image Segmentation Based on Wavelet Transform

Abstract:

In this paper, the image segmentation algorithm based on wavelet transform is presented. The proposed image segmentation algorithm performs the segmentation in the combined intensity-texture-position feature space in order to produce connected regions that correspond to the real-life objects shown in the image. This segmentation algorithm is applied to reduced versions of the original images in order to speed-up the completion of the segmentation. As shown by experimental evaluation, this novel scheme provides fast segmentation with high perceptual segmentation quality.

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Periodical:

Applied Mechanics and Materials (Volumes 571-572)

Pages:

821-824

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.571-572.821

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Online since:

June 2014

Authors:

Zhan Ping Li*, Mo Yuan Yang, Long Wang

Keywords:

Biomedical Image, Image Analysis, Image Segmentation, Wavelet Transform (WT)

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* - Corresponding Author

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