基于改进隶属函数的快速模糊边缘检测算法

Fast Fuzzy Edge Detection Algorithm based on Improved Membership Function

边缘检测在图像分析中是基本内容也是重要内容。在一幅典型的图像中,边缘是目标的基本特征,在一定程度上可以用于目标的分割、配准。模糊技术具有灵活性和精确性,但计算十分复杂,且与经典算法相比,执行时间长、效率低。因此,提出了一种简单快速的模糊边缘检测方法。通过实验对比,提出的快速模糊边缘检测算法算法会能在较短的时间内实现对一幅噪声图像的边缘检测,具有可靠性和鲁棒性,应用前景广阔。

Edge detection is the basic and important content in image analysis. In a typical image, the edge, as the basic feature of object, can be used to segment and match the object to a certain extent. Fuzzy technology, although flexible and accurate, is very complex in calculation, and moreover, has long execution time and low efficiency as compared with the classical algorithm. For this reason, a simple and fast fuzzy edge detection method is proposed. Experimental comparison indicates that the proposed fast fuzzy edge detection algorithm can realize the edge detection of a noisy image in a short period of time. This algorithm is of reliability and robustness, and thus has broad application prospects.