Title :
A computer vision approach to Micro-Nucleus automatic detection and surface measurements
Author :
Ceccarelli, Michele ; Grimaldi, Domenico ; Lamonaca, Francesco ; Speranza, Antonio
Author_Institution :
Dept. of Biol. & Environ. Studies, Univ. of Sannio, Benevento, Italy
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 :
cellular biophysics; image segmentation; medical image processing; biological structures; computer vision approach; human lymphocytes; image features; micronucleus automatic detection; micronucleus segmentation; structural chromosome aberration; surface measurements; Bioinformatics; Biological cells; Colored noise; Computer vision; Gaussian noise; Image color analysis; Image segmentation; Nuclear measurements; Pipelines; Shape; Gaussian noise; Micro Nucleus measurement; component; image enhancement; image processing; segmentation;
Conference_Titel :
Medical Measurements and Applications, 2009. MeMeA 2009. IEEE International Workshop on
Conference_Location :
Cetraro
Print_ISBN :
978-1-4244-3598-2
Electronic_ISBN :
978-1-4244-3599-9
DOI :
10.1109/MEMEA.2009.5167977
