Vein images generally appear darker with low contrast, which require contrast enhancement
during preprocessing to design satisfactory hand vein recognition system. However, the …

Contrast is the difference in brightness and color that makes an object distinguishable.
Contrast enhancement (CE) is a technique used to improve the visual quality of an image for …

Scale‐Invariant Feature Transform (SIFT) is being investigated more and more to realize a
less‐constrained hand vein recognition system. Contrast enhancement (CE), compensating …

Keypoint detection is an important tool of image analysis, and among many contemporary
keypoint detection algorithms YAPE is known for its computational performance, allowing its …

Laser scanning microscopy (LSM) techniques are of paramount importance at this time for
key domains such as biology, medicine, or materials science. Computer vision methods are …

Navigation in endoscopic environments requires an accurate and robust localisation system.
A key challenge in such environments is the paucity of visual features that hinders accurate …

Modern histopathology workflows rely on the digitization of histology slides. The quality of
the resulting digital representations, in the form of histology slide image mosaics, depends …

The ignored side effect reflecting in the introduction of mismatching brought by contrast
enhancement in representative SIFT based vein recognition model is investigated. To take …

Accurate positioning is an important problem in many fields especially Geographic
Information System (GIS). With the advent of ubiquitous computing, a vast and massive …

This thesis investigates how to maximise spatial information from surgical camera images for
robotic navigation. Image enhancement and depth estimation techniques are extended to …