Researcher of region growing medical image segmentation based on Adaboost algorithm

P. Wang, X. F. Ye, S. W. Yin, S. C. Kang, J. L. Xin

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


To obtain better region extraction results of medical image, a new segmentation algorithm is proposed based on improved Adaboost algorithm. The seed pixel is selected with background subtraction. The neighborhood point is judged. The primary selected seed is calibrated with label, and then the range of seed is reduced through growing label and the maximal saliency. The optimized Adaboost algorithm is taken as growing criterion to optimally combine the scrappy region when the region growing is over. The experiment result shows that the accuracy and robustness of the algorithm both meet the actual application required.

Original languageEnglish
Title of host publicationAdvanced Design and Manufacturing Technology I
PublisherTrans Tech Publications Ltd
Number of pages5
ISBN (Print)9780878492251
StatePublished - 2011
Externally publishedYes

Publication series

NameAdvanced Materials Research
ISSN (Print)1022-6680


  • Adaboost algorithm
  • Image segmentation
  • Medical image
  • Region growing


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