Application of image preprocessing in auto-classification of scanned hospital documents
图像识别预处理在扫描病案自动分类中的应用

In order to make recognition and classification more effective, the scanned hospital documents were preprocessed based on their characteristics. At first, the image was binarized by using Ostu method. Then the skewness of the image was dectectd by Radon transform. Finally, mathematical morphology open operator was used to reduce the disturbances and the projecting method was used to segment the header of the image.