【摘要】 在文本初定位、文本验证及笔画提取基础上,设计了一种基于笔画(Stroke)滤波器的图像文本提取实验。首先充分利用文本的笔画特性,借助笔画滤波算子产生一系列反应值,实现文本定位及笔画提取,并利用形态学结构元素去除部分噪声,形成候选文本区域;其次借助图像文本启发性知识进行验证;最后采用笔画区域颜色聚类的方法将文本与背景分离形成二值化文本图像。该实验方案可以检测定位不同类型的图像文本,并形成较好的文本二值图像,具有较强的鲁棒性。同时为培养学生用学到的知识解决实际问题的能力做了一个有益尝试。更多还原

【Abstract】 This paper proposed an experimental scheme of image text extracting method based on Stroke filter which consists of text location,text confirm and Stroke extraction three parts. The method takes full advantage of structure attribute of Strokes. With the help of the series Stroke response,it removes some noise by morphology method,then forms candidate text region,and text area is confirmed by using the heuristic knowledge. Finally color clustering method is used to divide text from background and obtain binary text image. Experimental results show that the method has better robustness,and suit extracting image text of different kinds. This design of image text extracting is helpful to train the undergraduate ability of solving the practical problem using learned related knowledge in image processing and analysis.更多还原