Application of the principal components transform to colposcopic color images

Author

De León, Alejandro Guzmán ; Lerallut, Jean-Francois ; Boulanger, Jean-Charles

Author_Institution

Dept. de Genie Biologique, Univ. de Technol. de Compiegne, France

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

511

Abstract

Many elementary images have to be recognized in each one of the three colposcopic tests, to give a gynaecologist at first the opportunity to build his colposcopics tables, and in the second place to establish the basic elements to make a semi-automatic system for pathological detection. The first step is a segmentation on the basis of the color, and we have implemented the algorithm of the principal components transform suggested by Umbaugh et al. (1993). Our first results are encouraging and are still in evolution, as presented in this paper

Keywords

biological techniques; biology computing; cellular biophysics; image classification; image colour analysis; image matching; image segmentation; medical image processing; transforms; basic elements; colposcopic color images; colposcopics tables; elementary images; gynaecologist; pathological detection; principal components transform; segmentation; semi-automatic system; Eigenvalues and eigenfunctions; Image analysis; Image color analysis; Image processing; Image segmentation; Lesions; Pathology; Pixel; Software tools; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575225

Filename

575225