NDLI: Multi patch approach in K-means clustering method for color image segmentation in pulmonary tuberculosis identification

Content Provider	IEEE Xplore Digital Library
Author	Rulaningtyas, Riries Andriyan Bayu Suksmono Mengko, Tati Saptawati, Putri
Copyright Year	2015
Description	Author affiliation: Department of Electrical Engineering, Bandung Institute of Technology, Indonesia (Rulaningtyas, Riries; Andriyan Bayu Suksmono; Mengko, Tati; Saptawati, Putri)
Abstract	Ziehl-Neelsen staining in sputum smear slides of pulmonary tuberculosis disease causes the sputum images become complex. The clinicians feel hard to examine sputum slide manually because there is no staining standardization. For helping the clinicians, this research developed new algorithm which did segmentation to separate the tuberculosis bacteria images from the background images. So that, the tuberculosis bacteria appear well. Several methods have been performed in this research. There were adaptive color thresholding, K-means clustering and K-nearest neighbors to improve the performance of color segmentation. All processing were done in the Commission Internationale de l'Eclairage Lab (CIELAB) color space. K-nearest neighbors method gave the best accuracy 97.90%, but has not been able to give good result on the whole image and need long computational time in learning process. Therefore, this research modified K-means clustering using patch technique for color image segmentation in the image of pulmonary tuberculosis sputum. The weakness of local optima in the K-means clustering repaired with a patch technique, as well as the learning process to get the patch pattern which is used as a reference to the new data. This method gave good segmentation accuracy 97.68% and fast computational process.
Starting Page	75
Ending Page	78
File Size	319654
Page Count	4
File Format	PDF
e-ISBN	9781467378000
DOI	10.1109/ICICI-BME.2015.7401338
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-02
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Dictionaries Image color analysis Clustering methods Instruments Segmentation Clustering algorithms Color Adaptive thresholding K-nearest neighbors Patch K-means clustering
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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