Wavelet Transform-Based Soft Computational Techniques and Applications in Medical Imaging

Wavelet Transform-Based Soft Computational Techniques and Applications in Medical Imaging

Shabana Urooj (Gautam Budhha University, India) and Satya P. Singh (Galgotias College of Engineering and Technology, India)
DOI: 10.4018/978-1-4666-9885-7.ch016
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Abstract

The aim of this chapter is to highlight the biomedical applications of wavelet transform based soft computational techniques i.e. wavenet and corresponding research efforts in imaging techniques. A brief introduction of wavelet transform, its properties that are vital for biomedical applications touched by various researchers and basics of neural networks has been discussed. The concept of wavelon and wavenet is also discussed in detail. Recent survey of wavelet based neural networks in medical imaging is another facet of this script, which includes biomedical image denoising, image enhancement and functional neuro-imaging, including positron emission tomography and functional MRI.
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2. Wavelet Transform

The wavelets are wave-like oscillation whose amplitude begins at zero, increases and then back to zero. In mathematical term, a wavelet series is a combination of square-integrable function by some orthonormal series generated by a wavelet. The wavelet transform provides time-frequency information simultaneously, hence giving a time-frequency representation of image analysis.

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