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Extracting Muscle Area with ART2 based Quantization from Rehabilitative Ultrasound Images

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2014, 19(6), pp.11-17
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kim, Kwang-baek ORD ID 1

1신라대학교

Accredited

ABSTRACT

While safe and convenient, ultrasound imaging analysis is often criticized by its subjectivedecision making nature by field experts in analyzing musculoskeletal system. In this paper, wepropose a new automatic method to extract muscle area using ART2 neural network basedquantization. A series of image processing algorithms such as histogram smoothing and End-insearch stretching are applied in pre-processing phase to remove noises effectively. Muscle areasare extracted by considering various morphological features and corresponding analysis. Inexperiment, our ART2 based Quantization is verified as more effective than other generalquantization methods.

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