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Seeded Region Growing based on Localizing Histogram
Author(s)
Date Issued
October 16, 2003
Type
Conference Paper
Abstract
This article presents segmenting image by seeded region growing and using a technique for selecting the suitable seed points from localizing histogram. Any gray levels on histogram have the maximum frequency (local maximum) in each period, and then defined as seed points of that period. The seed point closely attached with one then combined together as seed region. The obtained seed regions are performed region growing by iterative method until can not be done. Finally, the obtained sub-regions are merging by consideration from the group of average gray level of histogram or arbitrary setting by user. The purposed method of image segmentation compared with other one as shown on the experimental results and its advantage is reduce computational time.
Citation
Proceedings of 41st Kasetsart University Annual Conference, 540-547, 2003