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Proceedings Paper

Segmentation of bone pixels from EROI Image using clustering method for bone age assessment
Author(s): Rajitha Bakthula; Suneeta Agarwal
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Paper Abstract

The bone age of a human can be identified using carpal and epiphysis bones ossification, which is limited to teen age. The accurate age estimation depends on best separation of bone pixels and soft tissue pixels in the ROI image. The traditional approaches like canny, sobel, clustering, region growing and watershed can be applied, but these methods requires proper pre-processing and accurate initial seed point estimation to provide accurate results. Therefore this paper proposes new approach to segment the bone from soft tissue and background pixels. First pixels are enhanced using BPE and the edges are identified by HIPI. Later a K-Means clustering is applied for segmentation. The performance of the proposed approach has been evaluated and compared with the existing methods.

Paper Details

Date Published: 25 March 2016
PDF: 5 pages
Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 97890H (25 March 2016); doi: 10.1117/12.2225146
Show Author Affiliations
Rajitha Bakthula, Motilal Nehru National Institute of Technology (India)
Suneeta Agarwal, Motilal Nehru National Institute of Technology (India)


Published in SPIE Proceedings Vol. 9789:
Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations
Jianguo Zhang; Tessa S. Cook, Editor(s)

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