TY - JOUR
T1 - A novel enhanced hybrid recursive algorithm : image processing based augmented reality for gallbladder and uterus visualisation
AU - Singh, T.
AU - Alsadoon, Abeer
AU - Prasad, P. W. C.
AU - Alsadoon, O. H.
AU - Venkata, H. S.
AU - Alrubaie, A.
PY - 2020
Y1 - 2020
N2 - Background: Current Augmented Reality systems in liver and bowel surgeries, are not accurate enough to classify the hidden parts such as gallbladder and uterus which are behind the liver and bowel. Therefore, we aimed to improve the visualization accuracy of bowel and liver augmented videos to avoid the unexpected cuttings on the hidden parts. Methodology: The proposed system consists of an Enhanced hybrid recursive matching and λ-parameterization techniques to improve the visualization. In addition, Mean Shift Filter is also added to improve the matching process while image registration. Results: Results proved that, the accuracy is improved in terms of liver and bowel surgeries Visualization errors about 0.53 mm and 0.22 mm respectively. Similarly, it can produce 2 more frames/sec compared to the current system. Conclusion: The proposed system worked towards the visualization of gallbladder and uterus while liver and bowel surgeries. So, this study solved the visualization issues, which are caused by neighbouring and hidden parts.
AB - Background: Current Augmented Reality systems in liver and bowel surgeries, are not accurate enough to classify the hidden parts such as gallbladder and uterus which are behind the liver and bowel. Therefore, we aimed to improve the visualization accuracy of bowel and liver augmented videos to avoid the unexpected cuttings on the hidden parts. Methodology: The proposed system consists of an Enhanced hybrid recursive matching and λ-parameterization techniques to improve the visualization. In addition, Mean Shift Filter is also added to improve the matching process while image registration. Results: Results proved that, the accuracy is improved in terms of liver and bowel surgeries Visualization errors about 0.53 mm and 0.22 mm respectively. Similarly, it can produce 2 more frames/sec compared to the current system. Conclusion: The proposed system worked towards the visualization of gallbladder and uterus while liver and bowel surgeries. So, this study solved the visualization issues, which are caused by neighbouring and hidden parts.
UR - https://hdl.handle.net/1959.7/uws:76922
U2 - 10.1016/j.eij.2019.11.003
DO - 10.1016/j.eij.2019.11.003
M3 - Article
SN - 1110-8665
VL - 21
SP - 105
EP - 118
JO - Egyptian Informatics Journal
JF - Egyptian Informatics Journal
IS - 2
ER -