Segmentation of Hand Bone for Bone Age Assessment
The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. The task is accomplished by first applying the modified histogram equalized module, then applying the proposed automated anisotropic diffusion techniqu...
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| Format: | eBook |
| Language: | English |
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Singapore
Springer Nature Singapore
2013, 2013
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| Edition: | 1st ed. 2013 |
| Series: | SpringerBriefs in Applied Sciences and Technology
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
| Summary: | The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. The task is accomplished by first applying the modified histogram equalized module, then applying the proposed automated anisotropic diffusion technique. It is followed by a novel fuzzy quadruple division scheme to optimize the central segmentation algorithm, and then an additional quality assurance scheme. The designed segmentation framework works without demanding scarce resources such as training sets and skillful operators. The results have shown that the designed framework is capable of separating the soft-tissue and background from the hand bone with high accuracy. This Brief should be especially useful for students and professional researchers in the Biomedical and image processing fields |
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| Physical Description: | XVI, 132 p. 51 illus., 27 illus. in color online resource |
| ISBN: | 9789814451666 |