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Adaptive Binarization Method for Enhancing Ancient Malay Manuscript Images

机译:增强古代马来稿件图像的自适应二值化方法

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In order to transform ancient Malay manuscript images to be cleaner and more readable, enhancement must be performed as the images have differ. ent qualities due to uneven background, ink bleed, or ink bleed and expansion of spots. The proposed method for image improvement in this experiment con-sists of several stages, which are Local Adaptive Equalization, Im-age Intensity Values, K Means Clustering, Adaptive Thresholding, and Median Filtering. The proposed method produces an adaptive binarization image. We tested the proposed method on eleven ancient Malay manuscript images. The proposed method has the smallest avefage value of Relative Fore-ground Area Error compared to the other state of the art methods. At the same time, the proposed method have produced the better results and better reada-bility compared to the other methods.
机译:为了将古代马来的稿件图像转换为清洁和更可读,必须执行增强,因为图像有所不同。由于不平整的背景,墨水流血或墨水流血和斑点的扩展,因此耳鼻喉孔。该实验改善的提出方法改进了几个阶段的,其是局部自适应均衡,IM年龄强度值,K表示聚类,自适应阈值和中值滤波。该方法产生自适应二值化图像。我们在11个古代马来手稿图像上测试了拟议的方法。与其他现有技术相比,所提出的方法具有相对前地面误差的最小AVEFAGE值。同时,与其他方法相比,该方法产生了更好的结果和更好的Reada-Bility。

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