Text on Oracle rubbing segmentation method based on connected domain

Xiaosong, Shi; Huang, Yongjie; Liu, Yongge

doi:10.1109/imcec.2016.7867245

Cited by 3 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since most blood vessels have elongated structures, the isolated noise points are generally round and irregular in shape, and their areas are much smaller than those of the connected blood vessel areas, a threshold can be set. If the area of the connected domain is smaller than a specific threshold, the connected domain can be considered as a noise region [ 29 ]. Its mathematical expression is:

where

represents the nth connected domain,

is the area of

, and

is the set threshold.…”

Section: Primary Computational Methodsmentioning

confidence: 99%

Near-Infrared Blood Vessel Image Segmentation Using Background Subtraction and Improved Mathematical Morphology

Li,

Liu,

et al. 2023

Bioengineering

View full text Add to dashboard Cite

The precise display of blood vessel information for doctors is crucial. This is not only true for facilitating intravenous injections, but also for the diagnosis and analysis of diseases. Currently, infrared cameras can be used to capture images of superficial blood vessels. However, their imaging quality always has the problems of noises, breaks, and uneven vascular information. In order to overcome these problems, this paper proposes an image segmentation algorithm based on the background subtraction and improved mathematical morphology. The algorithm regards the image as a superposition of blood vessels into the background, removes the noise by calculating the size of connected domains, achieves uniform blood vessel width, and smooths edges that reflect the actual blood vessel state. The algorithm is evaluated subjectively and objectively in this paper to provide a basis for vascular image quality assessment. Extensive experimental results demonstrate that the proposed method can effectively extract accurate and clear vascular information.