| Summary: | 碩士 === 國立交通大學 === 生醫工程研究所 === 103 === Neuronal tree structure on bio-engineering, neuroscience has important applications, In scientific research, from the image shape or structure to obtain information is very important, but analysts many shapes or structures from the original image data is more difficult. Therefore, the development of a fully automated way to obtain images of the tree structure, but the image structure we obtain from this way. There are many factors that affect the structure of the quality of the resulting. Therefore, how to improve the quality of the outcome is important.
This study implements a visualization editing tool for image structure reconstruction, and add some controllable factor, that can promote the quality of result. The system is not only has the feature of tracing and editing, but also provide a simple validation interface.
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