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Human-Machine Interaction Technology (HIT)

An Enhancement of Image Segmentation Using Modified Watershed Algorithm

초록

영어

In this paper, we propose a watershed algorithm that applies a high-frequency enhancement filter to emphasize the boundary and a local adaptive threshold to search for minimum points. The previous method causes the problem of over-segmentation, and over- segmentation appears around the boundary of the object, creating an inaccurate boundary of the region. The proposed method applies a high-frequency enhancement filter that emphasizes the high-frequency region while preserving the low-frequency region, and performs a minimum point search to consider local characteristics. When merging regions, a fixed threshold is applied. As a result of the experiment, the proposed method reduced the number of segmented regions by about 58% while preserving the boundaries of the regions compared to when high frequency emphasis filters were not used.

목차

Abstract
1. Introduction
2. Linear spatial domain filtering and watershed algorithm
3. Watershed algorithm for accurate boundary detection
4. Experiments
5. Results
Acknowledgement
References

저자정보

  • Dong-Jin Kwon Associate Professor, Department of Computer Electronics Engineering, Seoil University, Korea

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