哈尔滨工业大学学报（英文版）
哈爾濱工業大學學報（英文版）
합이빈공업대학학보（영문판）
JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY(NEW SERIES)
2004年
4期
387-394
,共8页
毛文革%王洪滨%张田文
毛文革%王洪濱%張田文
모문혁%왕홍빈%장전문
Text segmentation%Fuzzy competitively clustering%Optimal number of clusters%Foreground images
We propose a novel scheme based on clustering analysis in color space to solve text segmentation in complex color images. Text segmentation includes automatic clustering of color space and foreground image generation. Two methods are also proposed for automatic clustering: The first one is to determine the optimal number of clusters and the second one is the fuzzy competitively clustering method based on competitively learning techniques. Essential foreground images obtained from any of the color clusters are combined into foreground images. Further performance analysis reveals the advantages of the proposed methods.
