[1]ZHOU Ke,QIN Shiyin.A novel method for relative correction of a radiometric distortion image based on SIFT feature matching[J].CAAI Transactions on Intelligent Systems,2011,6(6):507-514.
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A novel method for relative correction of a radiometric distortion image based on SIFT feature matching

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 6 Page number: 507-514 Column: 学术论文—人工智能基础 Public date: 2011-12-25
Title:
A novel method for relative correction of a radiometric distortion image based on SIFT feature matching
Author(s):
ZHOU Ke;  QIN Shiyin
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Keywords:
unregistered masterslave image couple;  scaleinvariant feature transform;  feature matching;  relative radiometric correction;  optical flow field
CLC:
TP751
DOI:
-
Abstract:
In view of the issue of traditional relative radiometric correction methods not being able to handle the effects in dealing with unregistered master slave image couples, systematic analysis of formation causes and radiometric distortion image characteristics was carried out and the advantages of relative corrections were investigated. Therefore, a novel relative radiometric correction method was proposed based on SIFT feature matching. Depending on their feature invariance, the SIFT features of the master slave image couple were extracted and matched first, and then the least square regression was employed to analyze the gray values of the matching points in order to obtain the linear transformation coefficients. Finally the correction result was achieved through the linear transformation of the slave image. A series of experimental results show that the radiometric differences between the unregistered masterslave image couples may be effectively reduced by using this method. In addition, this method has been successfully applied in the calculation of an optical flow field under complex light environments.
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