CAJ | 학술논문

自然环境中包含大量的文字信息，这些信息对于基于内容的图像检索、场景理解和智能交通等领域具有重要的应用价值。文章在现有文字定位技术和分析维吾尔文字母结构特点的基础上，提出了用Sobel边缘检测的一种定位方法，并详细介绍了用边缘检测、二值化、形态处理、最后利用连通区域分析和文本区域合并等算法来提取文本区域的过程。
자연배경중포함대량적문자신식，저사신식대우기우내용적도상검색、장경리해화지능교통등영역구유중요적응용개치。문장재현유문자정위기술화분석유오이문자모결구특점적기출상，제출료용Sobel변연검측적일충정위방법，병상세개소료용변연검측、이치화、형태처리、최후이용련통구역분석화문본구역합병등산법래제취문본구역적과정。
The natural environment contains plenty of text information which has an important applica- ble value in the fields-image retrieval based on content, scenes understanding and intelligent transportation etc. Based on existing text location technology and analyzing the structure features of Uyghur character, the thesis proposes a kind of text location method using Sobel edge detect. The thesis will also introduce the process of extracting text area in detail, by firstly using algorithm of edge detection.binaryzation. morphological processing, and finally using the algorithm of connected component analysis and text region merging etc.