TY - JOUR
T1 - Method of target detection based on region growing
AU - Gao, Jing
AU - Cai, Xingfu
AU - Liu, Zhiqiang
AU - Chang, Yan
N1 - Publisher Copyright:
© 2016, Beijing University of Technology. All right reserved.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - An infrared target detection algorithm based on region growing was presented to solve the problems of low contrast, complex background, and unconductive to objective testing. First, on the basis of morphological filtering mechanism, and using overall distribution of the texture image for progressive scanning, effectively selecting maxima minimum point, the size of the structural elements was determined adaptively for the image filtering. Second, based on the automatic extraction of the seed region, growth threshold was sentenced by dynamically adjusting the growth conditions, determining the target to be detected. Experimental results show that the proposed method compared with the NCC methods and OTSU method has the advantages of 10% for detecting accuracy rate and higher precision.
AB - An infrared target detection algorithm based on region growing was presented to solve the problems of low contrast, complex background, and unconductive to objective testing. First, on the basis of morphological filtering mechanism, and using overall distribution of the texture image for progressive scanning, effectively selecting maxima minimum point, the size of the structural elements was determined adaptively for the image filtering. Second, based on the automatic extraction of the seed region, growth threshold was sentenced by dynamically adjusting the growth conditions, determining the target to be detected. Experimental results show that the proposed method compared with the NCC methods and OTSU method has the advantages of 10% for detecting accuracy rate and higher precision.
KW - Forward looking infra-red
KW - Morphology
KW - Region growing
KW - Target detection
UR - http://www.scopus.com/inward/record.url?scp=84973646367&partnerID=8YFLogxK
U2 - 10.11936/bjutxb2015050002
DO - 10.11936/bjutxb2015050002
M3 - 文章
AN - SCOPUS:84973646367
SN - 0254-0037
VL - 42
SP - 856
EP - 861
JO - Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology
JF - Beijing Gongye Daxue Xuebao/Journal of Beijing University of Technology
IS - 6
ER -