Title :
GS Model for the Image Segmentation Number via Weighted the Position Information and the Gray Values
Author :
Zhang Zhengjun ; Liu Liwei ; Zhu Yaoqin
Author_Institution :
Sch. of Sci., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
The paper considers the GS (Gap statistics) model of the optimum segmentation number of the image by taking the standard gray values of the image and the position information as the data and by endowing them the normalizing weights. It studies, by taking the weights as the variables, the evolvement of the optimum segmentation of the image from the pure gray values to the pure space data of the image and their relative connection.
Keywords :
image segmentation; statistical analysis; Gap statistic model; gray value weighing; image segmentation; optimum segmentation; position information weighing; space data; Brain; Clustering algorithms; Computer science; Computer vision; Humans; Image processing; Image segmentation; Paper technology; Space technology; Statistics;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304172
