Title: COMBINING THINNING ALGORITHM WITH SHOCKING FILTERS FOR POSITRON EMISSION TOMOGRAPHY IMAGE RESOLUTION ENHANCEMENT

Year of Publication: 2012
Page Numbers: 44-54
Authors: Hanan Bayyoumi , Hala Ebied, Gamal Seleam
Conference Name: The International Conference on Computing, Networking and Digital Technologies (ICCNDT2012)
- Bahrain

Abstract:


In this paper, we present an image de-blurring algorithm for Positron emission tomography (PET). PET medical image is fuzzy and blurred. The PET image needs to enhance in order to reduce the needing for using another scanning machine like (Computed Tomography and MRI) that usually combined with it in the real life. This paper presents a novel approach to apply the thinning algorithm. Beside the paper presents a new hybrid approach for the combination of two different enhancing algorithms in order to enhance the PET image, Thinning algorithm and Shocking filter. Thinning or Skeleton algorithm, based on the ideas of dilation and erosion, reduce the thickness of give shape by finding its internal line without destroying its meaning. The function of the shocking filter or coherence filter is de-noising, de- blurring, and sharpening the image. Thinning or Skeleton algorithms were combined with a Shocking filter or Coherence enhancing filter to detail the image and define the inside structure of the body. The experimental results show the difference between the hybrid approaches by analyze their de-blurring behaviors.