基于边缘连续性的边缘检测算法
Edge Detection Based on Edge Continuity

针对传统的边缘检测算法抗噪能力弱、弱小边缘难以检测以及边缘图像容易出现断层等问题，本文提出了一种新的边缘检测算法。该方法首先对边缘进行提取，然后进行边缘连接。边缘是图像灰度突变的反应，像素点的梯度以该像素点为对称中心，由对称位置灰度有明显变化的像素点的个数加权得到。对梯度较大的像素点计算其方向，通过像素点方向的连续性进行边缘提取。为了克服边缘图像出现断层的缺陷，利用蚁群算法进行边缘连接 。实验结果表明，该方法有较强的抗噪能力，尤其对椒盐噪声，且可以有效地检测出灰度变 化不明显的边缘。
A new algorithm for edge detection is proposed to anti-noisely detect weak edges and broken edges produced in traditional edge detectors. First, edge is extracted and then connected. Edge is the reaction of gray mutation. The gradient of the pixels is composed of weighted pixel number which signifys the amount of pixels adjoin this pixel in the symmetry location. The direction of the pixels with larger gradient is calculated. Edges are extracted based on the continuity of pixels′ direction. To compensate the faults of edge image, we use ant colony algorithm to connect edges. The experimental result shows that the method has strong anti-noise ability, especially for salt and pepper noise, and can effectively detect the edge of gradation change significantly.