基于RGB颜色模型的印章图像分割

Seal Image Segmentation Based on RGB Color Model

为了更加方便快速分割图像信息,降低背景对印章图像的干扰,加强民航业信息识别技术,提出一种基于RGB颜色模型分割印章图像的方法。该方法采用RGB颜色模型,将RGB印章图像中R分量分离出来得到灰度图,削弱噪声干扰,突出重点区域。接着利用最大类间方差法(OTSU)对得到的灰度图二值化,选取最佳阈值。算法试验结果表明,通过分离R分量和引入OTSU算法可以得到更为清晰、细致的图像,提高了试验的准确性。

In order to segment the image information more conveniently and quickly,reduce the background interference to the stamp image,and strengthen the information recognition technology of the civil aviation industry,a method of segmenting stamp image based on the RGB color model is proposed.This method uses the RGB color model to separate the R component of the RGB stamp image to obtain a grayscale image,which weakens the noise interference and highlights the key areas.Then it uses the OTSU to binarize the obtained grayscale image and select the optimal threshold.The algorithm test results show that a clearer and more detailed image can be obtained by separating the R component and introducing the OTSU algorithm,which improves the accuracy of the test.