Segmentation Using a Region Growing Thresholding
(2005) Image Processing: Algorithms and Systems IV — Location: San Jose, CA, USA (17.January.2005)
Files
SegmentationUsingaRegionGrowingThresholding.pdf
Open Access - Adobe PDF
- 1.29 MB
Details
- Authors
- Abstract
- Our research deals with a semi-automatic region-growing segmentation technique. This method only needs one seed inside the region of interest (ROI). We applied it for spinal cord segmentation but it also shows results for parotid glands or even tumors. Moreover, it seems to be a general segmentation method as it could be applied in other computer vision domains then medical imaging. We use both the thresholding simplicity and the spatial information. The gray-scale and spatial distances from the seed to all the other pixels are computed. By normalizing and subtracting to 1 we obtain the probability for a pixel to belong to the same region as the seed. We will explain the algorithm and show some preliminary results which are encouraging.
- Affiliations
FPMs Théorie des circuits et traitement du Signal lab.
Citations
Mancas, M., Gosselin, B., & Macq, B. (2005). Segmentation Using a Region Growing Thresholding. In Edward R. Dougherty, Jaakko T. Astola, Karen O. Egiazarian (ed.), Proceedings SPIE 5672 (p. p. 388-388). SPIE--The International Society for Optical Engineering. https://doi.org/10.1117/12.587995