TY - GEN
T1 - Feature-point extraction based on an improved SIFT algorithm
AU - Joo, Hyun Bin
AU - Jeon, Jae Wook
N1 - Publisher Copyright:
© 2017 Institute of Control, Robotics and Systems - ICROS.
PY - 2017/12/13
Y1 - 2017/12/13
N2 - SIFT (Scale Invariant Feature Transform) is an algorithm that extracts the feature data from an input image. It comprises robust characteristics that prevent image transformations such as the image size and rotation in the matching of feature points. However, it is disadvantageous because it is difficult to extract the feature points if the brightness distribution of the image or the image itself is concentrated in a specific range. In this paper, we propose an improved SIFT algorithm for disturbances such as sunflare by applying the CLAHE (Contrast Limited Adaptive Histogram Equalization), a histogram-equalization method, as a preprocessing SIFT method. For this paper, we implemented the algorithm using Visual Studio 2013, which can use the C ++ language, and implemented the histogram analyses in the MATLAB environment.
AB - SIFT (Scale Invariant Feature Transform) is an algorithm that extracts the feature data from an input image. It comprises robust characteristics that prevent image transformations such as the image size and rotation in the matching of feature points. However, it is disadvantageous because it is difficult to extract the feature points if the brightness distribution of the image or the image itself is concentrated in a specific range. In this paper, we propose an improved SIFT algorithm for disturbances such as sunflare by applying the CLAHE (Contrast Limited Adaptive Histogram Equalization), a histogram-equalization method, as a preprocessing SIFT method. For this paper, we implemented the algorithm using Visual Studio 2013, which can use the C ++ language, and implemented the histogram analyses in the MATLAB environment.
KW - Feature-Point
KW - Histogram Equalization
KW - SIFT
UR - https://www.scopus.com/pages/publications/85044458005
U2 - 10.23919/ICCAS.2017.8204463
DO - 10.23919/ICCAS.2017.8204463
M3 - Conference contribution
AN - SCOPUS:85044458005
T3 - International Conference on Control, Automation and Systems
SP - 345
EP - 350
BT - ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings
PB - IEEE Computer Society
T2 - 17th International Conference on Control, Automation and Systems, ICCAS 2017
Y2 - 18 October 2017 through 21 October 2017
ER -