Abstract
As a noted topic of life science, brain research is aimed to solve how people learn and memorize. Brain research also helps us discover the cause of brain diseases such as Alzheimer's or Parkinson's disease. However, the brain of human is very complicated. It is connected between billions of neural cells to form a big neural network. For this reason, understanding the neural network of human’s brain is a difficult challenge. In Drosophila brain, it is discovered that several brain controlling genes are very similar to human’s, and so as how they function. Thus, Drosophila brain plays an important role for studying simple neural networks and can help us figure out such main functions as learning and memory. In order to study the main structures and functions of Drosophilas brain, confocal microscope is used to image fluorescent brain slices. Due to the individual difference between the different Drosophilas, it is hard to know the actual difference between the different Drosophilas. Hence, we have to warp all the Drosophilas brain image to a standard one which we have created. In our work, we design a system to warp the source image to the target one. We use thin-plate splines to build the deformation field. However, there are some drawbacks of this approach. We extend original thin-plate splines to approximating thin-plate splines and boundary-constrained thin-plate splines to solve these problems. Finally we use directional median filter to interpolate the result image after warping. The result from the system can mostly match to the target image.