Detailed Information

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

적외선 영상에서의 과분할 영역기반 표적 분류기법Target Classification Method Based on Over-Segmented Region in IR Images

Other Titles
Target Classification Method Based on Over-Segmented Region in IR Images
Authors
김재협전갑송문영식
Issue Date
Jun-2010
Publisher
대한전자공학회
Citation
대한전자공학회 2010년 하계학술대회, v.33, no.1, pp 1627 - 1629
Pages
3
Indexed
OTHER
Journal Title
대한전자공학회 2010년 하계학술대회
Volume
33
Number
1
Start Page
1627
End Page
1629
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39769
Abstract
In this paper, we popose the method of target classification method based on overfitting region in infrared images. As the infrared image, it has no significant features of specific gradient and texture information. So, in generally, it's so hard to segment target object region from original image, and to extract features to using classification. In our proposed method, infrared image is splitted small areas, and then the union of over segmented regions is applied to classify target object.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE