Morphological segmentation of x-ray images

Wei Zheng; Hua Yang; Huisheng Sun; Hongqi Fan

doi:10.1117/12.806443

13 October 2008 Morphological segmentation of x-ray images

Wei Zheng, Hua Yang, Huisheng Sun, Hongqi Fan

Proceedings Volume 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence; 71271Q (2008) https://doi.org/10.1117/12.806443
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

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.

Citation Download Citation

Wei Zheng, Hua Yang, Huisheng Sun, and Hongqi Fan "Morphological segmentation of x-ray images", Proc. SPIE 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence, 71271Q (13 October 2008); https://doi.org/10.1117/12.806443

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