摘要
提出一种适用于万维网搜索、彩色图像索引和视频索引等多种应用的彩色图像文本定位方法.算法采用多尺度图像分割方法把彩色图像分割为一系列可能包含文本的图像块,用连通区域方法确定每一个文本图像块中文本的精确位置和大小.采用多颜色图像分解方法提取具有相似颜色的连通区域,通过聚类相邻的连通区域得到文本的位置和范围.利用一个图像数据库来测试本文算法,试验表明算法具有较高的正确率.
This work proposed a novel text location method that is suitable for World Wide Web search, color image indexing and video indexing. Image was first segmented into several blocks using multi-scale segmentation approach; then, texts in blocks were localized using connected component algorithm. A multi-color image decomposition method was utilized to extract connected components with uniform color. The location and range of text were obtained by clustering the adjacency connected components. The algorithm was applied to a test image database and showed promising results.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2005年第2期229-233,共5页
Journal of Zhejiang University：Engineering Science
关键词
高斯图像金字塔
颜色减少
图像分解
连通区域分析
排列分析
Color image processing
Image segmentation
Indexing (of information)
Online searching
Text processing
Videotex
World Wide Web
