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We derived an automated algorithm for accurately measuring the thalamic diameter from 2-D fetal ultrasound (US) brain images. The algorithm overcomes the inherent limitations of the US image modality: nonuniform density; missing boundaries; and strong speckle noise. We introduced a “guitar” structure that represents the negative space surrounding the thalamic regions. The guitar acts as a landmark...
The quantification of carotid artery stenosis via imaging techniques guides the physicians to take a decision regarding surgical interventions. The measurement of wall thickness from magnetic resonance (MR) images is a promising approach to measure the degree of carotid stenosis. Manual tracing of the carotid vessel walls is time consuming and is sensitive to observer variability. Further, the existing...
The counting of Red Blood Cells (RBC), White Blood Cells (WBC) and platelet of human blood in microscopic image can provide useful information concerning the health of the patient. The conventional methods used in laboratories to detect and diagnose the problem were very slow and prone to get inaccuracy in result. Digital image processing can detect and recognize different diseases and make it easy...
This paper presents a novel approach for floor obstacle segmentation in omnidirectional images which rests upon the fusion of multiple classification generated from heterogeneous segmentation schemes. The individual naive Bayes classifiers rely on different features and cues to determine a pixel's class label. Ground truth data for training and testing the classifiers is obtained from the superposition...
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