題 目: Topics in statistical image analysis
主講人: 陳定立博士 (中央研究院統計研究所 助研究員 )
時 間: 95年10月13日（星期五）10：40 - 11：30
（上午10：20-10：40茶會於統計所821室舉行）
地 點: 清大綜合三館837室
Abstract
There are plenty of interesting problems in image processing that can be
solved by statistical methods. In this talk, I will introduce two examples
from my past research work. (i) OCR (Optical Character Recognition) is the
process of translating images of texts into computer-editable texts. I will
present a brand new algorithm for this translation. The algorithm first uses
a technique for image partitions. Then it uses Kullback-Leibler distance for
image classifications. (ii) Image DeWarping targets to remove distortions in
images. This problem can be transformed to the problem of seeking an optimal
mapping from the actual observed frame into the desired ideal frame. The Thin
Plate Spline is an effective tool for providing such a solution. However, it
may introduce artifacts. In this example, I will present a method that
modifies the Thin Plate Spline to reduce artifacts.
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