CAJ | 학술논문

针对复杂网页图像中文本的特点，提出了一种基于最大类间差法（OTSU）的文字分割方法。对原文字图像进行预处理，统一了分割后字符的颜色、去除了大量的噪声、提高了图像的对比度；在全局阈值的基础上确定了各字符区域的位置；利用局部最优阈值对文字图像进行局部分割。实验结果表明，方法在保证较高准确率的基础上，提升了分割后字符的效果，具有较强的鲁棒性。
침대복잡망혈도상중문본적특점，제출료일충기우최대류간차법（OTSU）적문자분할방법。대원문자도상진행예처리，통일료분할후자부적안색、거제료대량적조성、제고료도상적대비도；재전국역치적기출상학정료각자부구역적위치；이용국부최우역치대문자도상진행국부분할。실험결과표명，방법재보증교고준학솔적기출상，제승료분할후자부적효과，구유교강적로봉성。
According to the features of complex web images, a text segmentation method is proposed based on the OTSU method. The image is preprocessed, thus to unify the divided character color, in addition to remove a lot of noise and improve image contrast. The position of each character area is determined based on the global threshold value. Using the optimal threshold for text image segmentation. Experimental results show that the method improves the segmentation character, based on the high accuracy, with strong robustness.