International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




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Research Paper | Physics Science | Iraq | Volume 6 Issue 6, June 2017


Detection of Lung Diseases using Nearest Neighbor Classification Technique

Alyaa Hussein Ali; Zahra Jaafer Abod Jasim


Abstract: Lung diseases can be defined as the disorder that affects the lungs. The Lang is the organs that allow the human to breathe, the lung diseases can be detecting using CT images and image processing techniques. The first step in image enhancement is using the wiener filter as a noise remover filter, the segmentation process which is essentially used in detecting the defect in lung by using optimized Otsu threshold method which is based on improved the thresholding algorithm. The Nearest neighbor supervised classification method is used for classifying the lung diseases with the use of the histogram statistical features (first order statistical features).


Keywords: CT images, wiener filter, O'tsu threshold, statistical, features, nearest neighbor


Edition: Volume 6 Issue 6, June 2017,


Pages: 370 - 374


How to Cite this Article?

Alyaa Hussein Ali; Zahra Jaafer Abod Jasim, "Detection of Lung Diseases using Nearest Neighbor Classification Technique", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART20173790, Volume 6 Issue 6, June 2017, 370 - 374

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