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One image segmentation method based on Otsu and fuzzy theory seeking image segment threshold

机译:基于OTSU和模糊理论寻求图像段阈值的一种图像分割方法

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Based on the study of image segmentation algorithm, this paper presents one kind of improved image segmentation algorithm by comprehensive using the Otsu method and the method based on fuzzy theory seeking image segment threshold. The method uses Otsu method, obtained by pre-segmentation threshold value; then the image is divided into target and background. At last we use fuzzy partition method for final segmentation threshold. The experimental results show that the method can keep a greater degree of image detail. Especially for low SNR images and poor contrast image, there is a relatively good result.
机译:基于对图像分割算法的研究,本文通过综合使用OTSU方法和基于模糊理论寻求图像段阈值的方法呈现一种改进的图像分割算法。该方法使用OTSU方法,通过预分割阈值获得;然后将图像分为目标和背景。最后,我们使用模糊分区方法进行最终分割阈值。实验结果表明,该方法可以保持更大程度的图像细节。特别是对于低SNR图像和较差的对比图像,结果相对较好。

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