A New Threshold Selection Method for Separation of Objects and Background |
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Authors: | Chang-Heon Woo Soo-Yong Kim |
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Institution: | (1) Department of Physics, Korea Advanced Institute of Science and Technology, Taejon, 305-701, South Korea |
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Abstract: | A new threshold selection algorithm for objects and background separation using a histogram of the number of foreground regions was proposed. This method used a human separation method for objects and background, examined the changes in the number of foreground regions in the image with varying threshold and determined a proper threshold value. The proposed technique was applied to several images and was compared with other histogram-based segmentation methods. The possibility of extension to multi-level thresholding was also examined. |
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Keywords: | thresholding countgram segmentation separation image processing |
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