IEICE TRANSACTIONS on Information
An Algorithm of Connecting Broken Objects Based on the Skeletons
Summary :
The segmentation of Mycobacterium tuberculosis images forms the basis for the computer-aided diagnosis of tuberculosis. The segmented objects are often broken due to the low-contrast objects and the limits of segmentation method. This will result in decreasing the accuracy of segmentation and recognition. A simple and effective post-processing method is proposed to connect the broken objects. The broken objects in the segmented binary images are connected based on the information obtained from their skeletons. Experimental results demonstrate the effectiveness of our proposed method.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.11 pp.2832-2835
- Publication Date
- 2016/11/01
- Publicized
- 2016/08/10
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016EDL8117
- Type of Manuscript
- LETTER
- Category
- Pattern Recognition
Authors
Chao XU
National University of Defense Technology
Dongxiang ZHOU
National University of Defense Technology
Yunhui LIU
The Chinese University of Hong Kong
Keyword
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Chao XU, Dongxiang ZHOU, Yunhui LIU, "An Algorithm of Connecting Broken Objects Based on the Skeletons" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 11, pp. 2832-2835, November 2016, doi: 10.1587/transinf.2016EDL8117.
Abstract: The segmentation of Mycobacterium tuberculosis images forms the basis for the computer-aided diagnosis of tuberculosis. The segmented objects are often broken due to the low-contrast objects and the limits of segmentation method. This will result in decreasing the accuracy of segmentation and recognition. A simple and effective post-processing method is proposed to connect the broken objects. The broken objects in the segmented binary images are connected based on the information obtained from their skeletons. Experimental results demonstrate the effectiveness of our proposed method.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016EDL8117/_p
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@ARTICLE{e99-d_11_2832,
author={Chao XU, Dongxiang ZHOU, Yunhui LIU, },
journal={IEICE TRANSACTIONS on Information},
title={An Algorithm of Connecting Broken Objects Based on the Skeletons},
year={2016},
volume={E99-D},
number={11},
pages={2832-2835},
abstract={The segmentation of Mycobacterium tuberculosis images forms the basis for the computer-aided diagnosis of tuberculosis. The segmented objects are often broken due to the low-contrast objects and the limits of segmentation method. This will result in decreasing the accuracy of segmentation and recognition. A simple and effective post-processing method is proposed to connect the broken objects. The broken objects in the segmented binary images are connected based on the information obtained from their skeletons. Experimental results demonstrate the effectiveness of our proposed method.},
keywords={},
doi={10.1587/transinf.2016EDL8117},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - An Algorithm of Connecting Broken Objects Based on the Skeletons
T2 - IEICE TRANSACTIONS on Information
SP - 2832
EP - 2835
AU - Chao XU
AU - Dongxiang ZHOU
AU - Yunhui LIU
PY - 2016
DO - 10.1587/transinf.2016EDL8117
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2016
AB - The segmentation of Mycobacterium tuberculosis images forms the basis for the computer-aided diagnosis of tuberculosis. The segmented objects are often broken due to the low-contrast objects and the limits of segmentation method. This will result in decreasing the accuracy of segmentation and recognition. A simple and effective post-processing method is proposed to connect the broken objects. The broken objects in the segmented binary images are connected based on the information obtained from their skeletons. Experimental results demonstrate the effectiveness of our proposed method.
ER -
English
