This paper presents a chalky rice detection method that is studied based on multi-color conversion and fuzzy threshold segmentation.
提出了一种基于多重色彩转换和模糊阈值分割的垩白米检测方法。
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement in order to enhance the contrast of image.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点，完成对图像的对比度增强。
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement, in order to enhance the contrast of image.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点，完成对图像的对比度增强。
Methods This method integrate anisotropic diffusion filter, statistical threshold, mathematical morphological operations, and algorithm of fuzzy connected is used in the process of segmentation.
方法通过各向异性滤波，统计阈值分割，数学形态学滤波，和基于模糊连接算法对脑图像进行自动分割。
Methods This method integrate anisotropic diffusion filter, statistical threshold, mathematical morphological operations, and algorithm of fuzzy connected is used in the process of segmentation.
方法通过各向异性滤波，统计阈值分割，数学形态学滤波，和基于模糊连接算法对脑图像进行自动分割。
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