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作 者:孙孝坤 黄继风[1] SUN Xiaokun;HUANG Jifeng(The College of Information,Machanical and Electrical Engineering,Shanghai Normal University,Shanghai 200234,China)
机构地区:[1]上海师范大学信息与机电工程学院,上海200234
出 处:《图学学报》2018年第2期214-220,共7页Journal of Graphics
摘 要:对图像文字进行细化有助于突出文字的形状特点和减少冗余的信息量,在文字识别领域有着重要的应用。在分析研究传统细化算法后,针对传统细化出现的畸变、细化不完全现象,提出了一种对国际音标图像字符的细化方法。该算法通过对文字区域的边缘分类标记,并判断被标记点是否满足可去除条件,然后逐步去除边缘像素点,最终能让国际音标图像字符的宽度细化到一个像素宽度。针对国际音标图像字符的实验表明,该算法能够准确地对国际音标图像字符进行细化,且简单高效。To refine image characters can help to highlight the shape features of the character and reduce the amount of redundant information,which has important applications in the field of character recognition.After analyzing and studying the traditional thinning algorithm,aiming at the distortion and incomplete phenomenon of traditional refinement,this paper proposes a refinement method for the characters of international phonetic symbols.The algorithm makes it possible to refine the width of the international phonetic image character to a pixel width by marking the edge of the text area and judging whether the marked point satisfies the removable condition and then gradually removing the edge pixel.Experiment on the international phonetic alphabet character image shows that the algorithm proposed in this paper can accurately refine the international phonetic alphabet character image,simple and efficiently.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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