TY - GEN
T1 - Novel anisotropic diffusion algorithm based on PID control law together with stopping mechanism
AU - Rong, Lu
AU - Yan, Wang
AU - Yi, Shen
PY - 2005
Y1 - 2005
N2 - Anisotropic diffusion is one of the widely used techniques in the field of image process. Tremendous applications show promising results by using anisotropic diffusion algorithm or its revisions. In this paper, we propose a new anisotropic diffusion method which is based on PID (Proportional-Integral- Derivative) control law together with a stopping mechanism. The PID control law is a simple and intuitive law in cybernetics and it has been proven to be effective to improve the system's performance. In this new approach, according to the different processing purpose for edge and noise, different PID control parameters are chosen. Therefore, anisotropic diffusion approach is carried out more efficiently. Moreover, the proposed stopping mechanism is based on the linear correlation theory, which indicates the similarity of two images. Incorporating with this mechanism, anisotropic diffusion is able to stop automatically when the processed image reaches the certain predefined performance target. The experiments show the correctness and effectiveness of the proposed method.
AB - Anisotropic diffusion is one of the widely used techniques in the field of image process. Tremendous applications show promising results by using anisotropic diffusion algorithm or its revisions. In this paper, we propose a new anisotropic diffusion method which is based on PID (Proportional-Integral- Derivative) control law together with a stopping mechanism. The PID control law is a simple and intuitive law in cybernetics and it has been proven to be effective to improve the system's performance. In this new approach, according to the different processing purpose for edge and noise, different PID control parameters are chosen. Therefore, anisotropic diffusion approach is carried out more efficiently. Moreover, the proposed stopping mechanism is based on the linear correlation theory, which indicates the similarity of two images. Incorporating with this mechanism, anisotropic diffusion is able to stop automatically when the processed image reaches the certain predefined performance target. The experiments show the correctness and effectiveness of the proposed method.
UR - https://www.scopus.com/pages/publications/33846920135
M3 - 会议稿件
AN - SCOPUS:33846920135
SN - 0780387406
SN - 9780780387409
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SP - 3402
EP - 3405
BT - Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
T2 - 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Y2 - 1 September 2005 through 4 September 2005
ER -