Neutrosophic image segmentation approach based on similarity
基于相似性的中智学图像分割方法

According to the noise disturbance of image segmentation, this paper proposed a similarity- based neutrosophic image segmentation approach. Considering the indeterminacy of image information, the concept of similarity, as an operation, was introduced to processing of image information with neutrosophy theory. With indeterminacy of each pixel, it used similarity and enhancement operations to process an image in the field of neutrosophy. Then, it segmented the image using clustering. The experiments show that the proposed method can eliminate noise effectively and improve PSNR of image. The error rate of synthetic image segmentation is only 0.110 7 and lower than other methods. The proposed method is better in the noise disturbance and segmentation effect.