Spiral image compression by an unrestricted chain coding method
Spiral image compression by an unrestricted chain coding method
- Author(s): P.N. Nicholl and R.J. Millar
- DOI: 10.1049/cp:19950722
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- Author(s): P.N. Nicholl and R.J. Millar Source: Fifth International Conference on Image Processing and its Applications, 1995 p. 564 – 568
- Conference: Fifth International Conference on Image Processing and its Applications
- DOI: 10.1049/cp:19950722
- ISBN: 0 85296 642 3
- Location: Edinburgh, UK
- Conference date: 4-6 July 1995
- Format: PDF
This paper presents a method of compressing and restructuring an image based on a single, major feature found in the image, for example, the outline of the skull in a scene that represents a cross-section of a human head. It is a second generation method that is not based on exploiting aspects of the human visual system, but instead the restructuring of the source file in a more compact form without loss. The image domain for the evaluation of the technique is that of medical images recorded in a raster array format by a magnetic resonance scanner. An initial contour for the spiral is based on the outline derived from the image's major feature. The rest of the contours are created from this initial contour with a radius one pixel less than the most recent contour.
Inspec keywords: biomedical NMR; image coding; data compression; image representation; medical image processing; image segmentation; runlength codes; image reconstruction
Subjects: Radiation and radioactivity applications in biomedicine; Biomagnetism; Medical magnetic resonance imaging and spectroscopy; Codes; Optical information, image and video signal processing; Patient diagnostic methods and instrumentation
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