Comparison of the segmentation of ultrasonic image utilizing different fractal parameters

Kwok-Leung Chan

doi:10.1117/12.206697

21 April 1995 Comparison of the segmentation of ultrasonic image utilizing different fractal parameters

Kwok-Leung Chan

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206697
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

Statistical texture analysis has been commonly applied in the quantitative characterization of ultrasonic image. Recently, another approach begins to emerge, which uses fractal dimension. In this investigation, fractal dimension is estimated from histologically confirmed ultrasonic images using three different approaches: intensity- based, spectrum-based and reticular cell counting. The parameters are then used in image segmentation. The fractal model has the advantages that the parameter generated is stable over transformations of scale and linear transforms of intensity. From the results obtained, the performance of fractal dimension obtained by the reticular cell counting method is better than the other two approaches and comparable to the spatial grey level co-occurrence matrices statistic.

Citation Download Citation

Kwok-Leung Chan "Comparison of the segmentation of ultrasonic image utilizing different fractal parameters", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206697

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