基于误差扩散的图像二值化

Error Diffusion-Based Image Binarization

将传统误差扩散法应用于灰度图像的二值化中,根据图像的灰度级分布情况将图像分为两类,并结合误差扩散思想分别对每类图像进行处理.结果表明,处理后得到的二值图像可模拟连续灰度图像,更符合人眼的视觉特性.

An improved method about the classical algorithm of error diffusion was proposed and applied to the binarization of gray-level image.The images were divided into two categories according to their grayscale distribution,which were processed respectively under the consideration of the ideology of error diffusion.Experiment results indicate that the binary image having been processed can simulate the continous-tone gray image,which is coincident with the human visual properties furthermore.