An Algorithm of Connecting Broken Objects Based on the Skeletons

Chao XU  Dongxiang ZHOU  Yunhui LIU  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E99-D   No.11   pp.2832-2835
Publication Date: 2016/11/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDL8117
Type of Manuscript: LETTER
Category: Pattern Recognition
Keyword: 
segmentation,  tuberculosis,  computer-aided diagnosis,  post processing,  

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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.