CAJ | 학술논문

如何自动选取种子点的位置是基于区域生长法分割文字的关键问题。该算法通过横向线段检测算子提取出文字条中所有的横向线段；统计线段在饱和度、亮度上像素点的分布，根据统计分布使用Otsu法提取出纯净的文字基线，将它作为区域生长种子点的位置；通过生长法则分割文字。实验在四类不同的背景集中测试算法，其中花卉测试集的字母提取率达到72.31%。
여하자동선취충자점적위치시기우구역생장법분할문자적관건문제。해산법통과횡향선단검측산자제취출문자조중소유적횡향선단；통계선단재포화도、량도상상소점적분포，근거통계분포사용Otsu법제취출순정적문자기선，장타작위구역생장충자점적위치；통과생장법칙분할문자。실험재사류불동적배경집중측시산법，기중화훼측시집적자모제취솔체도72.31%。
Based on the region growing(SRG)algorithm, how to select the correct seed location automatically is one of the major problems for text segmentation. Horizontal lines of the image bar are extracted through an edge detector. The statistical distribution of the pixels in saturation and intensity is done. This paper extracts the pure baselines using Otsu method, sets the baselines as the seed location, and extracts the Uyghur text from the color bar image using the law of growth. The algorithm is tested in four different types of background. Experiments show that this algorithm has 72.31%Character Extract Rate(CER)in flower background.