Share Email Print
cover

Proceedings Paper

Morphological segmentation of x-ray images
Author(s): Wei Zheng; Hua Yang; Huisheng Sun; Hongqi Fan
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

X-ray images are the essential aiding means in clinical diagnosis of fracture all along. According to the characteristic of X-ray images, a novel improving strategy based on homotopy modification of gradients is proposed. Opening-by-reconstruction and closing-by-reconstruction are used to smooth the images. Top-hat transformation and bottom-hat transformation are used to enhance contrast. Combination of top-hat-reconstruction and opening-by-reconstruction is employed to remove complex muscle background. Extended minima transformation, area opening operation, image addition, complement of image, distance transformation and watershed transformation are together employed to compute internal and external markers. Using the markers to modify gradients ensures that the regional minima exactly occur in the bones objects and the muscle background. Correct watershed ridge lines are obtained by applying watershed transform to the modified gradients. Experimental results show that a good segmentation effect can be achieved using the proposed algorithm, and the algorithm is suitable for segmenting X-ray images in interactive fracture diagnosis systems.

Paper Details

Date Published: 13 October 2008
PDF: 6 pages
Proc. SPIE 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence, 71271Q (13 October 2008); doi: 10.1117/12.806443
Show Author Affiliations
Wei Zheng, Hebei Univ. (China)
Hua Yang, Hebei Univ. (China)
Huisheng Sun, No. 252 Hospital of PLA (China)
Hongqi Fan, No. 252 Hospital of PLA (China)


Published in SPIE Proceedings Vol. 7127:
Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence

© SPIE. Terms of Use
Back to Top