Feature and color analysis of images of the cervix

Author

Shoba Umamaheswaran

Keywords and Phrases

Acetowhite

Abstract

"Cervical cancer is the second most common type of cancer that prevails among women. The death rate due to cervical cancer in developing countries is much more than developed countries due the lack of trained personnel. This thesis discusses techniques investigated to create a fully automated system that aids in detecting cancer. Image matching techniques helps in pairing similar images in the database. Computer-based tools are developed that process the images for enhancement due to conditions such as lighting, and which extract and analyse [sic] key features of the cervix. A very efficient algorithm for segmentation of acetowhite regions is developed"--Abstract, page iii.

Advisor(s)

Stanley, R. Joe

Committee Member(s)

Stoecker, William V.
Moss, Randy Hays, 1953-

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Publisher

University of Missouri--Rolla

Publication Date

Fall 2006

Pagination

viii, 59 pages

Rights

© 2006 Shoba Umamaheswaran, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Subject Headings

Cervix uteri -- Cancer -- Diagnosis
Image analysis
Pattern recognition systems

Thesis Number

T 9078

Print OCLC #

123568957

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

Recommended Citation

Umamaheswaran, Shoba, "Feature and color analysis of images of the cervix" (2006). Masters Theses. 5874.
https://scholarsmine.mst.edu/masters_theses/5874