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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.9 No.4
- 발행연도
- 2014.7
- 수록면
- 1,426 - 1,436 (11page)
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초록· 키워드
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In this article, we present a new grey scale image segmentation method based on Fuzzy logic and bitplane techniques which combines the bits of different bitplanes of a pixel inorder to increase the segmentation quality and to get a more reliable and accurate segmentation result. The proposed segmentation approach is conceptually different and explores a new strategy. Infact, our technique consists in combining many realizations of the image together inorder to increase the information quality and to get an optimal segmented image. For segmentation, we proceed in two steps. In the first step, we begin by identifying the bitplanes that represent the lungs clearly. For this purpose, the intensity value of a pixel is separated into bitplanes. In the second step, segmentation values are assigned for each bitplane based on membership table. The segmented values of foreground are combined and the segmentation values of background are combined. The algorithm is demonstrated through the medical computed tomography (CT) images. The segmentation accuracy of the proposed method is compared with two existing techniques. Satisfactory segmentation results have been obtained showing the effectiveness and superiority of the proposed method.
목차
Abstract
1. Introduction
2. Related Works
3. Overview of the FLBP Method
4. Experimental Evaluation
5. Conclusions and Future work
References
참고문헌 (26)
참고문헌 신청
1. [학술대회논문] - Garnavi R / 2005 / A new segmentation method for lung HRCT images / Proceedings of the Digital Imaging Computing: Techniques and Applications : 52 ~
2. [학술대회논문] - Antonelli M / 2005 / Segmentation and Reconstruction of the Lung Volume in CT Images / 20th annual ACM symposium on applied computing : 255 ~ 259
3. [학술지(정기간행물)] - Manish Kakara Dag Rune Olsen / 2009 / Automatic Segmentation and Recognition of Lungs and Lesion fromCT Scans of Thorax / Comp Medical Imaging and Graphics 33 : 72 ~ 82
4. [학술지(정기간행물)] - Armato SG III / 1999 / Computerized detection of pulmonary nodules on CT scans / Radio Graphics 19 : 1303 ~ 1311
5. [학술지(정기간행물)] - M. ArfanJaffar / 2010 / Fuzzy Entropy Based Optimization of Clusters for the Segmentation of Lungs in CT Scanned Images / Knowledge Information Systems 24 : 91 ~ 111
2. [학술대회논문] - Antonelli M / 2005 / Segmentation and Reconstruction of the Lung Volume in CT Images / 20th annual ACM symposium on applied computing : 255 ~ 259
3. [학술지(정기간행물)] - Manish Kakara Dag Rune Olsen / 2009 / Automatic Segmentation and Recognition of Lungs and Lesion fromCT Scans of Thorax / Comp Medical Imaging and Graphics 33 : 72 ~ 82
4. [학술지(정기간행물)] - Armato SG III / 1999 / Computerized detection of pulmonary nodules on CT scans / Radio Graphics 19 : 1303 ~ 1311
5. [학술지(정기간행물)] - M. ArfanJaffar / 2010 / Fuzzy Entropy Based Optimization of Clusters for the Segmentation of Lungs in CT Scanned Images / Knowledge Information Systems 24 : 91 ~ 111
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UCI(KEPA) : I410-ECN-0101-2015-500-001664459