A computer vision approach to micro-nucleus automatic detection and surface measurements

Michele Ceccarelli, Domenico Grimaldi, Francesco Lamonaca, Antonio Speranza

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper reports a novel method for Nucleus and Micro Nucleuses segmentation. These biological structures are very handy to biologists for relieving structural chromosome aberration. The adopted method consists into a pipeline of advanced computer vision algorithms some of them specifically tailored for the current segmentation problem. Starting from weak hypotheses on size, shape and colour of Micro Nucleuses it is possible to efficiently segment all the image features by computer vision approach. Experimental results on real images are reported.

Original languageEnglish
Title of host publication2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009
Pages166-171
Number of pages6
DOIs
Publication statusPublished - 23 Nov 2009
Externally publishedYes
Event2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009 - Cetraro, Italy
Duration: 29 May 200930 May 2009

Other

Other2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009
CountryItaly
CityCetraro
Period29/5/0930/5/09

Fingerprint

Surface measurement
Computer vision
Chromosomes
Aberrations
Chromosome Aberrations
Color
Pipelines

Keywords

  • Component
  • Gaussian noise
  • Image enhancement
  • Image processing
  • Micro nucleus measurement
  • Segmentation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Ceccarelli, M., Grimaldi, D., Lamonaca, F., & Speranza, A. (2009). A computer vision approach to micro-nucleus automatic detection and surface measurements. In 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009 (pp. 166-171). [5167977] https://doi.org/10.1109/MEMEA.2009.5167977

A computer vision approach to micro-nucleus automatic detection and surface measurements. / Ceccarelli, Michele; Grimaldi, Domenico; Lamonaca, Francesco; Speranza, Antonio.

2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009. 2009. p. 166-171 5167977.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ceccarelli, M, Grimaldi, D, Lamonaca, F & Speranza, A 2009, A computer vision approach to micro-nucleus automatic detection and surface measurements. in 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009., 5167977, pp. 166-171, 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009, Cetraro, Italy, 29/5/09. https://doi.org/10.1109/MEMEA.2009.5167977
Ceccarelli M, Grimaldi D, Lamonaca F, Speranza A. A computer vision approach to micro-nucleus automatic detection and surface measurements. In 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009. 2009. p. 166-171. 5167977 https://doi.org/10.1109/MEMEA.2009.5167977
Ceccarelli, Michele ; Grimaldi, Domenico ; Lamonaca, Francesco ; Speranza, Antonio. / A computer vision approach to micro-nucleus automatic detection and surface measurements. 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009. 2009. pp. 166-171
@inproceedings{f94391f499854adf8211dff78672fa7d,
title = "A computer vision approach to micro-nucleus automatic detection and surface measurements",
abstract = "This paper reports a novel method for Nucleus and Micro Nucleuses segmentation. These biological structures are very handy to biologists for relieving structural chromosome aberration. The adopted method consists into a pipeline of advanced computer vision algorithms some of them specifically tailored for the current segmentation problem. Starting from weak hypotheses on size, shape and colour of Micro Nucleuses it is possible to efficiently segment all the image features by computer vision approach. Experimental results on real images are reported.",
keywords = "Component, Gaussian noise, Image enhancement, Image processing, Micro nucleus measurement, Segmentation",
author = "Michele Ceccarelli and Domenico Grimaldi and Francesco Lamonaca and Antonio Speranza",
year = "2009",
month = "11",
day = "23",
doi = "10.1109/MEMEA.2009.5167977",
language = "English",
isbn = "9781424435999",
pages = "166--171",
booktitle = "2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009",

}

TY - GEN

T1 - A computer vision approach to micro-nucleus automatic detection and surface measurements

AU - Ceccarelli, Michele

AU - Grimaldi, Domenico

AU - Lamonaca, Francesco

AU - Speranza, Antonio

PY - 2009/11/23

Y1 - 2009/11/23

N2 - This paper reports a novel method for Nucleus and Micro Nucleuses segmentation. These biological structures are very handy to biologists for relieving structural chromosome aberration. The adopted method consists into a pipeline of advanced computer vision algorithms some of them specifically tailored for the current segmentation problem. Starting from weak hypotheses on size, shape and colour of Micro Nucleuses it is possible to efficiently segment all the image features by computer vision approach. Experimental results on real images are reported.

AB - This paper reports a novel method for Nucleus and Micro Nucleuses segmentation. These biological structures are very handy to biologists for relieving structural chromosome aberration. The adopted method consists into a pipeline of advanced computer vision algorithms some of them specifically tailored for the current segmentation problem. Starting from weak hypotheses on size, shape and colour of Micro Nucleuses it is possible to efficiently segment all the image features by computer vision approach. Experimental results on real images are reported.

KW - Component

KW - Gaussian noise

KW - Image enhancement

KW - Image processing

KW - Micro nucleus measurement

KW - Segmentation

UR - http://www.scopus.com/inward/record.url?scp=70449633401&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70449633401&partnerID=8YFLogxK

U2 - 10.1109/MEMEA.2009.5167977

DO - 10.1109/MEMEA.2009.5167977

M3 - Conference contribution

SN - 9781424435999

SP - 166

EP - 171

BT - 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009

ER -