Parallel implementation of an adaptive split-and-merge method for medical image segmentation

Jin Shin Chou*, Chin Tu Chen, Shiuh Yung Chen, Wei Chung Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We have developed an adaptive split-and-merge method for a medical image segmentation algorithm and investigated its parallel implementation. The key process of the segmentation method, i.e., the test of region homogeneity, is carried out by means of a localized feature analysis technique and statistical tests. The feature analysis technique combines a co-occurrence matrix and the histogram of its near-diagonal elements for calculating the threshold values of the average standard deviation, gray-level contrast, and likelihood ratio. We then use these values as constraints in the statistical hypothesis tests to determine whether two regions should be split or merged in the final region formation. The strength of the proposed method is that all the required parameters in the algorithm are computed automatically and depend only on the context of the image under analysis. The calculation of the feature measurements in this algorithm is window-based; the value computed for each pixel is a function of its neighboring pixels, the computation time is enormous and is inherently suitable for parallel implementation. We have incorporated the proposed algorithm by using an AT&T Pixel Machine. The parallelization can be done by division of image into 8 × 8 blocks of equal size and some boundary pixels that overlap with four neighboring pixel nodes. The preliminary result shows that the saving in computation time with this parallelized implementation is significant.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages62-69
Number of pages8
ISBN (Print)0819408042
StatePublished - Jan 1 1992
EventMedical Imaging VI: Image Processing - Newport Beach, CA, USA
Duration: Feb 24 1992Feb 27 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1652
ISSN (Print)0277-786X

Other

OtherMedical Imaging VI: Image Processing
CityNewport Beach, CA, USA
Period2/24/922/27/92

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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