Retinal illnesses such as diabetic retinopathy (DR) are the main causes of vision loss. In the
early recognition of eye diseases, the segmentation of blood vessels in retina images plays …

To efficiently enhance images, a novel algorithm using multi scale image features extracted
by top-hat transform is proposed in this paper. Firstly, the multi scale bright and dim regions …

Coronary heart disease has been one of the main threats to human health. Coronary
angiography is taken as the gold standard; for the assessment of coronary artery disease …

Diabetic Retinopathy (DR) harm retinal blood vessels in the eye causing visual deficiency.
The appearance and structure of blood vessels in retinal images play an essential part in the …

Finger–vein based biometrics, as a new approach to personal identification, has received
much attention in recent years. However, the poor visibility of finger–vein imageries is really …

Vessel structures such as retinal vasculature are important features for computer-aided
diagnosis. In this paper, a probabilistic tracking method is proposed to detect blood vessels …

Long-range infrared images are always suffering from dim targets and background clutters.
To improve the contrast between target and background, we propose a novel infrared image …

Accurate coronary artery segmentation is a fundamental step in various medical imaging
applications such as stenosis detection, 3D reconstruction and cardiac dynamics assessing …

Biometric recognition based on human finger-vein patterns is an emerging technique and
has been receiving increasing attention. Due to light attenuation in biological tissue, the …

Blood vessel segmentation (BVS) of 3D medical imaging such as computed tomography
and magnetic resonance angiography (MRA) is an essential task in the clinical field …