ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Infrared Target Extraction Using Weighted Information Entropy and Adaptive Opening Filter
Cited 1 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
배태욱, 김휘강, 김영춘, 안상호
발행일
201510
출처
ETRI Journal, v.37 no.5, pp.1023-1031
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.15.0114.0118
협약과제
14ZC3100, 지역기반 의료기기.의료로봇 기술개발 및 의료IT 융합 중소기업 활성화 사업, 이형수
초록
In infrared (IR) images, near targets have a transient distribution at the boundary region, as opposed to a steady one at the inner region. Based on this fact, this paper proposes a novel IR target extraction method that uses both a weighted information entropy (WIE) and an adaptive opening filter to extract near finely shaped targets in IR images. Firstly, the boundary region of a target is detected using a local variance WIE of an original image. Next, a coarse target region is estimated via a labeling process used on the boundary region of the target. From the estimated coarse target region, a fine target shape is extracted by means of an opening filter having an adaptive structure element. The size of the structure element is decided in accordance with the width information of the target boundary and mean WIE values of windows of varying size. Our experimental results show that the proposed method obtains a better extraction performance than existing algorithms.
키워드
Infrared, Near target, Opening operator, Structure element, Weighted information entropy
KSP 제안 키워드
Adaptive structure, Boundary region, Extraction method, IR Image, Information entropy, Infrared target, Local Variance, Structure element, Target extraction, Weighted information, target shape