By Topic

Interactive edge detection and tracing in cellular nuclei images using B-splines and neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
V. Barrios ; Carabobo Univ., Valencia, Venezuela ; A. Reigosa ; G. Montilla ; L. Hernandez
more authors

During the analysis of histological images of cancer tissue, the specialist must carefully look for cellular shapes and sizes, as well as orientation, in order to make a diagnosis. This work develops an interactive auxiliary method to help the physician to quickly trace the edge for each cell, as selected by him (her) in a microscopic image. The method is based in a gradient and gray-level study of the image, along a series of radials centered in a selected cell. The analysis outputs a set of points from which the edge points are selected. The edge tracing is then performed using the B-spline method

Published in:

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference  (Volume:1 )

Date of Conference:

20-25 Sep 1995