The detection, isolation and sorting of cells are important tools in both clinical diagnostics
and fundamental research. Advances in microfluidic cell sorting devices have enabled …

The diagnosis of blood-related diseases involves the identification and characterization of a
patient's blood sample. As such, automated methods for detecting and classifying the types …

Image processing technique involved five basic components which are image acquisition,
image preprocessing, image segmentation, image post-processing and image analysis. The …

The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a
hot issue because of its important applications in disease diagnosis. Nowadays the …

This paper proposes image processing algorithms to recognize five types of white blood
cells in peripheral blood automatically. First, a method based on Gram–Schmidt …

The proportion of counts of different types of white blood cells in the bone marrow, called
differential counts, provides invaluable information to doctors for diagnosis. Due to the …

This paper presents the application of a genetic algorithm (GA) and a support vector
machine (SVM) to the recognition of blood cells based on the image of the bone marrow …

This paper aims at introducing an automated approach to leukocyte recognition using fuzzy
divergence and modified thresholding techniques. The recognition is done through the …

Background In recent years, cytological observations in the Rhinology field are being
increasingly utilized. This development has taken place over the last two decades and has …

Finding the correct boundary in noisy images is still a difficult task. This paper introduces a
new edge following technique for boundary detection in noisy images. Utilization of the …