Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

피부 현미경 영상을 통한 피부 특징 추출 및 피부 나이 도출 기법A scheme of extracting age-related wrinkle feature and skin age based on dermoscopic images

Other Titles
A scheme of extracting age-related wrinkle feature and skin age based on dermoscopic images
Authors
최영환황인준
Issue Date
2010
Publisher
한국전기전자학회
Keywords
Dermoscopic Image; Skin Age; SVM; Age-related Skin Features; Dermoscopic Image; Skin Age; SVM; Age-related Skin Features
Citation
전기전자학회논문지, v.14, no.4, pp.328 - 334
Indexed
KCI
Journal Title
전기전자학회논문지
Volume
14
Number
4
Start Page
328
End Page
334
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/117479
ISSN
1226-7244
Abstract
Usually, image feature extraction methods are performed as a pre-processing step in many applications including image retrieval, object recognition, and image indexing. Especially, in the image texture analysis, texture feature extraction methods attempt to increase texture contrast to make it easier to extract the texture features from the image. One of the distinct textures in microscopic skin image is the wrinkle, and its features could provide various useful information for the age-related applications. In this paper, we propose a scheme to extract age-related features from the skin images and improve its accuracy in the skin age estimation.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Hwang, Een jun photo

Hwang, Een jun
College of Engineering (School of Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE