Fuzzy c-means （FCM） algorithm is one of the most popular methods for image segmentation. However, the standard FCM algorithm is sensitive to noise because of not taking into account the spatial information in the im...Fuzzy c-means （FCM） algorithm is one of the most popular methods for image segmentation. However, the standard FCM algorithm is sensitive to noise because of not taking into account the spatial information in the image. An improved FCM algorithm is proposed to improve the antinoise performance of FCM algorithm. The new algorithm is formulated by incorporating the spatial neighborhood information into the membership function for clustering. The distribution statistics of the neighborhood pixels and the prior probability are used to form a new membership func- tion. It is not only effective to remove the noise spots but also can reduce the misclassified pixels. Experimental results indicate that the proposed algorithm is more accurate and robust to noise than the standard FCM algorithm.展开更多
Theme and information focus,two important concepts of Functional Grammar,are helpful for us to interpret the information placement of a text.The relationship between the two by analyzing the thematic structure and inf...Theme and information focus,two important concepts of Functional Grammar,are helpful for us to interpret the information placement of a text.The relationship between the two by analyzing the thematic structure and information structure of Anton Chekhov’s "A Nincompoop" is attempted to show.The thematic progressing of the text to present its inner connexity is also explored.The purpose of doing this is to dig up the hidden meaning the author wants to express.展开更多
基金supported by the National Natural Science Foundation of China(6087403160740430664)
文摘Fuzzy c-means （FCM） algorithm is one of the most popular methods for image segmentation. However, the standard FCM algorithm is sensitive to noise because of not taking into account the spatial information in the image. An improved FCM algorithm is proposed to improve the antinoise performance of FCM algorithm. The new algorithm is formulated by incorporating the spatial neighborhood information into the membership function for clustering. The distribution statistics of the neighborhood pixels and the prior probability are used to form a new membership func- tion. It is not only effective to remove the noise spots but also can reduce the misclassified pixels. Experimental results indicate that the proposed algorithm is more accurate and robust to noise than the standard FCM algorithm.
文摘Theme and information focus,two important concepts of Functional Grammar,are helpful for us to interpret the information placement of a text.The relationship between the two by analyzing the thematic structure and information structure of Anton Chekhov’s "A Nincompoop" is attempted to show.The thematic progressing of the text to present its inner connexity is also explored.The purpose of doing this is to dig up the hidden meaning the author wants to express.
