White Blood Cells Detection Using Spectral Tresholding

Red Blood Cells and White Blood Cells Detection, Differentiation and Counting using Image Processing

Urinalysis is a diagnostic test that evaluates a sample of the urine for detection and assessment of a wide range of disorders such as urinary tract infection (UTI), kidney diseases and diabetes. Epithelial (or flat cells), red and white blood cells may be seen in the urine. The high amount of red blood cells (RBCs) in the urine may indicate infection, trauma, or kidney stones. Since the urine ...

Detection of Acute Leukemia Using White Blood Cells Segmentation Based on Blood Samples

In order to improve patient diagnosis various image processing software are developed to extract useful information from medical images. An essential part of the diagnosis and treatment of leukemia is the visual examination of the patient’s peripheral blood smear under the microscope. Morphological changes in the white blood cells are commonly used to determine the nature of the malignant cells...

An Improved Computer Vision Method for White Blood Cells Detection

The automatic detection of white blood cells (WBCs) still remains as an unsolved issue in medical imaging. The analysis of WBC images has engaged researchers from fields of medicine and computer vision alike. Since WBC can be approximated by an ellipsoid form, an ellipse detector algorithm may be successfully applied in order to recognize such elements. This paper presents an algorithm for the ...

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Nonparametric Spectral-Spatial Anomaly Detection

Due to abundant spectral information contained in the hyperspectral images, they are suitable data for anomalous targets detection. The use of spatial features in addition to spectral ones can improve the anomaly detection performance. An anomaly detector, called nonparametric spectral-spatial detector (NSSD), is proposed in this work which utilizes the benefits of spatial features and local st...