Cart (Loading....) | Create Account
Close category search window
 

Endometrium characterization in connection with uterine contraction

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
$31 $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

4 Author(s)
Yang, C.H. ; Dept. of Electron. Commun. Eng., Nat. Kaohsiung Inst. of Technol., Taiwan ; Chung, P.-C. ; Tsai, Y.C. ; Chuang, L.Y.

The features of the endometrium are considered important factors in infertility treatment. This paper presents a new approach for estimating the endometrium based on a multiple threshold technique and a general mathematical method. The approach exploits gray-level information to organize and constrain the interpretation of the motion object by a recursive model. The recursive model is employed for threshold optimization of motion information segmentation. This is implemented by repeatedly shrinking the dimension of the maximum potential range of motion with an adaptive threshold throughout the whole process. The values to be estimated comprise motion frequency and thickness. The former is determined by change detection of the number of frame based changes in a sequence of images over a given time period with an appropriate sampling frequency. This can be achieved by a double-increment-of-sampling-frequency mechanism. The latter is the result of the motion object's dimension divided by its extended length. Experimental results indicate that it is possible to accurately estimate the thickness and motion frequency of the endometrium with the proposed algorithm

Published in:

Nuclear Science, IEEE Transactions on  (Volume:48 ,  Issue: 4 )

Date of Publication:

Aug 2001

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.