NDLI: Bone extraction in X-ray images by analysis of line fluctuations

Content Provider	IEEE Xplore Digital Library
Author	Kazeminia, S. Karimi, N. Mirmahboub, B. Soroushmehr, S.M.R. Samavi, S. Najarian, K.
Copyright Year	2015
Description	Author affiliation: Dept. of Emergency Med., Univ. of Michigan, Ann Arbor, MI, USA (Soroushmehr, S.M.R.; Najarian, K.) \|\| ECE Dept., Isfahan Univ. of Technol., Isfahan, Iran (Kazeminia, S.; Karimi, N.; Samavi, S.) \|\| Dept. of Pattern Anal. & Comput. Vision, Italian Inst. of Technol., Genoa, Italy (Mirmahboub, B.)
Abstract	Segmentation of X-ray bone images is of concern in many medical applications such as detection of osteoporosis and bone fractures. Segmentation of such images is a challenging process. Varying brightness throughout the image makes it difficult to separate bones from background and soft tissue. Costume made as well as standard segmentation methods, such as active contour and region growing, have been applied to bone X-ray images. Although each method could perform well for some images, due to variety of bone structures and lighting conditions none of these methods can be considered as complete. In this paper we present a new bone segmentation method in which an image goes through preprocessing steps such as noise cancellation and edge detection. Analysis of intensity fluctuations in all rows of the image results in more accurate segmentation of bone regions. Visual evaluation show that the proposed algorithm segments bones better than conventional and some recent bone segmentation approaches.
Starting Page	882
Ending Page	886
File Size	1743362
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7350926
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bones Image edge detection X-ray imaging Image segmentation Filtering algorithms Muscles Detectors edge detection X-ray bone segmentation noise cancellation
Content Type	Text
Resource Type	Article

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