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<p>The authors present the intensity axis of symmetry (IAS) method for describing the shape of structures in grey-scale images. They describe the spatial and intensity variations of the image simultaneously rather than by the usual two-step process of using intensity properties of the image to segment an image into regions and describing the spatial shape of these regions. The result is an image shape description that is useful for a number of computer vision applications. The method relies on minimizing an active surface functional that provides coherence in both the spatial and intensity dimensions while deforming into an axis of symmetry. Shape-based image segmentation is possible by identifying image regions associated with individual components of the IAS. The resulting image regions have geometric coherence and correspond well to visually meaningful objects in medical images.</p>
spatial variations; shape structures; image processing; intensity axis; symmetry; image segmentation; grey-scale images; intensity variations; shape description; computer vision; geometric coherence; computer vision; image recognition; image segmentation

S. Pizer and J. Gauch, "The Intensity Axis of Symmetry and Its Application to Image Segmentation," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 15, no. , pp. 753-770, 1993.
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