A Novel Approach for Detectioning, Segmenting and Classifying Shadow Image Based on Rough Sets

Tie Min Chen; Hong Song He; Xin Cong Jiang

doi:10.4028/www.scientific.net/AMM.513-517.4175

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517A Novel Approach for Detectioning, Segmenting and...

A Novel Approach for Detectioning, Segmenting and Classifying Shadow Image Based on Rough Sets

Abstract:

The disadvantages of domestic and oversea shadow image edge detection algorithms are analyzed. A novel shadow detection algorithm based on edge growing and rough set theory and subsequent solution is proposed. We describe how to detect image edge using condition attribution of rough set in this paper. Also, the method of thinning and connection for shadow edge using edge growing from the edge nodes is proposed. As can be seen from the experimental analysis, the method we proposed has better performance in edge detection and image segmentation.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

4175-4179

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.4175

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Online since:

February 2014

Authors:

Tie Min Chen*, Hong Song He, Xin Cong Jiang

Keywords:

Edge Detection, Image Segmentation, Rough Set (RS), Shadow Classification

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* - Corresponding Author

References

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