Segmentation of TB Bacilli in Ziehl-Neelsen Sputum Slide Images using k-means Clustering Technique

Image Segmentation of Ziehl-Neelsen Sputum Slide Images for Tubercle Bacilli Detection

Tuberculosis (TB) remains one of the leading causes of death in developing countries and its recent resurgences in both developed and developing countries warrants global attention. Globally, there were an estimated of 9.27 million incident cases of TB in 2007. This is an increase from 9.24 million cases in 2006, 8.3 million cases in 2000 and 6.6 million cases in 1990. Most of the estimated num...

vessel segmentation in retinal images using multi-scale line operator and k-means clustering

detecting blood vessels is an important task in retinal image analysis.  the task is more challenging with the presence of bright and dark lesions in retinal images. here, a method is proposed to detect vessels in both normal and abnormal retinal fundus images based on their linear features. first, the negative impact of bright lesions is reduced by using k-means segmentation in a perceptive sp...

Segmentation of Photospheric Solar Images by Using c-Means,k-Means, and FCM Algorithms

Ziehl-Neelsen Staining Technique Can Diagnose Paragonimiasis

BACKGROUND We evaluated the Ziehl-Neelsen staining (ZNS) technique for the diagnosis of paragonimiasis in Laos and compared different modifications of the ZNS techniques. METHODOLOGY WE APPLIED THE FOLLOWING APPROACH: We (1) examined a paragonimiasis index case's sputum with wet film direct examination (WF) and ZNS; (2) re-examined stored ZNS slides from two provinces; (3) compared prospectiv...

Infected Fruit Part Detection using K-Means Clustering Segmentation Technique

— Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations such as oranges, apples etc. Manual identification of defected fruit is very time consuming. This work presents a novel defect segmentation of fruits based on color features with K-means clustering unsupervised algorithm. We used color images of fruits for defect segmenta...