《Table 1 Comparison of the segmentation results for the four different methods》

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《量子遥感图像数据分割算法研究》

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The results showed that the quantum segmentation algorithm had a better segmentation effect than the traditional methods，such as the OTSU，K-means and maximum entropy threshold algorithms.Segmented images had a clearer texture and structure for both the CT of a patient’s pathological heart（Figure 2）and the aerial image of an airport（Figure 3）.More importantly，as shown in Tables 1 and 2，the information entropy of the quantum segmentation algorithm was higher（>0.1）than that of the best traditional methods while the running time was almost the same，proving that the quantum method can obtain better segmentation results.Images segmented by this method retained more information from the original image than images segmented using the traditional methods.