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

English Title

NIR Light Image Processing for Blood Vessel Detection

Type

journal article - other

Language

en

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.

English 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

RIV year

2007

Released

30.11.2007

Publisher

GESTS

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",
  annote="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.",
  address="GESTS",
  chapter="44965",
  institution="GESTS",
  journal="International Transaction on Computer Science and Engineering",
  number="1",
  volume="44",
  year="2007",
  month="november",
  pages="115--123",
  publisher="GESTS",
  type="journal article - other"
}