Image registration using a new edge-based approach
Computer Vision and Image Understanding
The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Fast normalized cross correlation for defect detection
Pattern Recognition Letters
A Class of Algorithms for Fast Digital Image Registration
IEEE Transactions on Computers
Computers and Electronics in Agriculture
Data fusion of multi-source imagery based on linear features registration
International Journal of Remote Sensing
Fast digital image stabilizer based on Gray-coded bit-plane matching
IEEE Transactions on Consumer Electronics
IEEE Transactions on Image Processing
A vision-based blind spot warning system for daytime and nighttime driver assistance
Computers and Electrical Engineering
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Automatic optical and infrared (IR) image registration is a crucial requirement in the estimation of plant canopy temperature. The latter is used to compute the plant water stress status which can potentially be applied to an automated control system for optimal crop irrigation management. Due to the nature of image sources and plant scene, it is difficult to find enough common features between the pair of images to register them using a simple method. In this paper an improved registration algorithm is described, where a modified Sobel edge detector is adopted and a variable resolution scheme is applied. The algorithm can improve the registration efficiency considerably compared to our previous developed registration method. Experiment results show that the modified algorithm can achieve the same registration accuracy and a better success rate compared to that from the original algorithm with a substantial reduction of computational complexity.