结合Canny算子的图像二值化

Image Binarization Based on Canny's Operator

对经典的二值化方法Ostu算法和Bernsen算法中存在的缺点进行了分析,提出一种结合Canny算子的图像二值化方法.该方法综合考虑了边缘信息和灰度信息,通过边缘附近种子点在高阈值二值化图像中的填充和低阈值图像对它的修补而得到二值化结果图像,较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象等缺点.实验结果证明,该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题.

We propose a binarization algorithm based on Canny's operator after an investigation to the drawbacks of the classic binarization algorithms, Ostu algorithm and Bernsen algorithm. The algorithm uses both edge and intensity information, and generates the binarization image by filling the image, which was binarized using a high threshold, with seeds near edges of the Canny edge image, and remedying it with the image binarized using a low threshold. This method overcomes the drawbacks in the classic binarization algorithms: noise sensitivity, edge coarseness, fake shadow etc. The experimental results show that the method is effective on the binarization of low contrast images and the images in which object intensity is not uniform.