Abstract A harmonic average Shannon entropy threshold method is proposed based on the thought that the maximum entropy threshold method searches the optimal threshold of the image by maximizing the arithmetical average Shannon entropy of the object and the background. To improve the performance of the proposed method, a weighted harmonic average threshold method and a weight preferences method are proposed. The proposed weighted harmonic average threshold method searches the optimal threshold by maximizing the weighted harmonic entropy of the object and the background in an image. Experimental results show that the proposed method gets better segmentation result than the classical Shannon entropy threshold method.
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2009, Vol. 22 
