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A multichannel algorithm for image segmentation with iterative feedback

: Pichler, O.; Hosticka, B.J.; Teuner, A.S.


British Machine Vision Association -BMVA-; Institute of Electrical and Electronics Engineers -IEEE-, URKI Section; Institute of Physical Sciences in Medicine -IPSM-, London; Royal Television Society; International Association for Pattern Recognition -IAPR-; Institution of Electrical Engineers -IEE-, London; Institute of Physics -IOP-, London; British Computer Society -BCS-:
International Conference on Image Processing and its Applications '95. Proceedings
Edinburgh, 1995 (Institution of Electrical Engineers - Conference Publication 410)
ISBN: 0-85296-642-3
International Conference on Image Processing and its Applications <5, 1995, Edinburgh>
Conference Paper
Fraunhofer IMS ()
Bildverarbeitung; image segmentation; Mehrkanalanalysator; multichannel segmentation; Segmentierung

In this paper we present a segmentation algorithm for multichannel image analysis. It is based on a novel method that significantly improves the segmentation performance with respect to both homogeneity of the segmented regions and precision of the segmented region boundaries. The algorithm yields excellent results in comparsion with other segmentation algorthms that are based on feature space clustering followed by minimum distance classification, as will be shown in some segmentation examples. The main idea of the algorthm proposed here is the iterative feedback of the knowledge about the analysed image that has been obtained from preceding segmentation results. It needs just a stack of feature images and the indication of the number of required classes for input data. Therefore, it has a broad field of possible applications, especially in multichannel image analysis.