Publication detail

NIR Light Image Processing for Blood Vessel Detection

ŘÍHA, K. ČÍŽ, R. BODEČEK, K.

Original Title

NIR Light Image Processing for Blood Vessel Detection

Type

journal article - other

Language

English

Original Abstract

This article deals with a specialized Image Processing procedure for blood vessel detection in a digital image. For this purpose, the digital image is acquired in NIR (Near-Infra-Red light band, invisible to the naked eye) with an approximate wavelength range of 800 - 1000nm. This part of light spectrum can be visualized by a common CCD camera chip. The image processing procedure uses, firstly, edge detection techniques, based on the second deriva-tive of image function - the Laplace operator, and, secondly, image smoothing procedures for minimizing the noise influence.

Keywords

Image Processing, Infra-Red Light Band, Edge Detection, Laplacian Kernel

Authors

ŘÍHA, K.; ČÍŽ, R.; BODEČEK, K.

RIV year

2007

Released

30. 11. 2007

Publisher

GESTS

ISBN

1738-6438

Periodical

International Transaction on Computer Science and Engineering

Year of study

44

Number

1

State

Republic of Korea

Pages from

115

Pages to

123

Pages count

9

BibTex

@article{BUT44965,
  author="Kamil {Říha} and Radim {Číž} and Kamil {Bodeček}",
  title="NIR Light Image Processing for Blood Vessel Detection",
  journal="International Transaction on Computer Science and Engineering",
  year="2007",
  volume="44",
  number="1",
  pages="115--123",
  issn="1738-6438"
}