Share Email Print
cover

Proceedings Paper

Semantic object segmentation scheme for x-ray body images
Author(s): Jaeyoun Yi; Hyun Sang Park; Jong Beom Ra
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In the segmentation process based on a watershed algorithm, a proper seed extraction is very important for segmentation quality because improper seeds can produce undesirable results such as over-segmentation or under-segmentation. Especially, an appropriate seed-extraction algorithm is indispensable in segmenting XCT body images where many organs, except lungs and bones, are in very narrow gray-level ranges with very low contrasts. In the proposed scheme, we divide an image into 4 sub-images by windowing its gray-level histogram, and extract proper seeds from each sub-image by different method according to its characteristic. Then, by using all the seeds obtained from the four separated sub-images, we perform the watershed algorithm to complete the image segmentation. The proposed segmentation method has been successfully applied to X-ray CT body images.

Paper Details

Date Published: 21 May 1999
PDF: 7 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348650
Show Author Affiliations
Jaeyoun Yi, Korea Advanced Institute of Science and Technology (South Korea)
Hyun Sang Park, Korea Advanced Institute of Science and Technology (South Korea)
Jong Beom Ra, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

© SPIE. Terms of Use
Back to Top