Feature-Based Medical Image Registration Using a Fuzzy Clustering Segmentation Approach

@inproceedings{Mahmoud2012FeatureBasedMI,
  title={Feature-Based Medical Image Registration Using a Fuzzy Clustering Segmentation Approach},
  author={Hassan Mahmoud and Francesco Masulli and Stefano Rovetta},
  booktitle={CIBB},
  year={2012}
}
This paper presents an approach to medical image registration using a segmentation step segmentation based on Fuzzy C-Means (FCM) clustering and the Scale Invariant Feature Transform (SIFT) for matching keypoints in segmented regions. To obtain robust segmentation, FCM is applied on feature vectors composed by local information invariant to image scaling and rotation, and to change in illumination. SIFT is then applied to corresponding regions in reference and target images, after the… CONTINUE READING
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