BibTeX:

@article{IJIRSTV3I2058,
     title={TLBO Optimization in Matching of Rotated Image},
     author={Jyoti Rohilla and Abhishek Bhatnagar},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={2},
     pages={94--101},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I2058.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The main work of this research is the development of computational frameworks that deal with the problems arising in the construction of an image registration module. A novel algorithm for image features matching is used in terms of optimization algorithms. We have efficiently used the teacher learning based optimization algorithm (TLBO) to match image features by tuning the rotating angle of image. The complete work is divided into three modules: edge detection, features extraction and features matching. After studying previous work on this, the phase congruency method for the edge detection is used to avoid non uniform illumination problem occurred in detection of edges. The requirement of features extraction is that invariant matching points which remain same even after change in angle of rotation of image. So we used scale invariant features transform (SIFT) method to extract features and finally we purposed the optimized matching algorithm which can work for almost every type of image. Our features matching using TLBO algorithm tune the rotational angle of test image and set it to an optimum angle so that it can best match with the reference image.

TLBO algorithm, SIFT, GSA