In infrared image segmentation processing, the selection of a threshold has been a hot issue.
在红外图像的分割处理中,阈值的选取一直是研究的热点。
Due to the problems of infrared image segmentation using fuzzy kernel clustering, an improved method for infrared image segmentation was proposed.
针对模糊核聚类对红外图像分割存在的不足,提出了一种改进的模糊核聚类红外图像分割算法。
In view of the characteristics of infrared image, the veracity is not good when the commonly used threshold is used in infrared image segmentation.
常用的阈值分割方法在对红外图像进行分割时,由于红外图像本身的特点,会出现准确性不高的问题。
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