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논문검색

Adaptive Thinning Algorithm for External Boundary Extraction

원문정보

Suk Won Yoo

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초록

영어

The process of extracting external boundary of an object is a very important process for recognizing an object in the image. The proposed extraction method consists of two processes: External Boundary Extraction and Thinning. In the first step, external boundary extraction process separates the region representing the object in the input image. Then, only the pixels adjacent to the background are selected among the pixels constituting the object to construct an outline of the object. The second step, thinning process, simplifies the outline of an object by eliminating unnecessary pixels by examining positions and interconnection relations between the pixels constituting the outline of the object obtained in the previous extraction process. As a result, the simplified external boundary of object results in a higher recognition rate in the next step, the object recognition process.

목차

Abstract
 1. Introduction
 2. The Related Works
 3. The Main Subject
  3.1 The Basic Concept
  3.2 The Adaptive Thinning Algorithm
  3.3 The Results
  3.4 The pros and cons of the proposed adaptive thinning algorithm
 4. Conclusion and Future work
 References

저자정보

  • Suk Won Yoo SeoKyeong Univ., Dept. of Computer Science, Seoul, Korea

참고문헌

자료제공 : 네이버학술정보

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