基于MATLAB的边缘检测算法研究

边缘检测是处理与剖析图像的主要内容之一,它在文字识别、车牌识别、遥感特征地物的提取等生产和生活领域发挥着非常重要的作用。但是,不同的图像有着不同的特征,到目前为止,没有一种统一的方法对所有的图像及地物的特征进行边缘检测。针对这一不足,本文首先探讨了4种经典的二值化算法和相应的改进二值化算法,并将经典算法与改进后的算法进行对比分析,然后利用Canny算子对二值化处理后的图像进行边缘检测。得出结论,迭代法和改进的迭代法与Canny算子相结合作为边缘检测的方法是一种高效率、高精度的方法。

Research on Edge Detection Algorithm Based on MATLAB

Edge detection is one of the main contents of processing and dissecting images. It plays a very important role in the production and life fields such as text recognition,license plate recognition,and remote sensing feature extraction. However,different images have different characteristics. So far,there is no uniform method for edge detection of all images and feature features. In view of this deficiency,this paper first discusses four classical binarization algorithms and corresponding improved binarization algorithms,and compares the classical algorithm with the improved algorithm,and then uses the Canny operator to deal with the binarization process.The image is edge detected. It is concluded that the iterative method and the improved iterative method combined with the canny operator as the edge detection method is a high efficiency and high precision method.