一种针对含噪低对比度图像的边缘检测方法

An Approach of Noise and Low-contrast Image Edge Detection

主要研究了含有噪声的低对比度图像的边缘检测方法。通过对图像进行直方图均衡化、二值化、平滑及去噪处理后,利用膨胀腐蚀型检测算子对图像边缘进行检测。经实验证明,该算法对含噪低对比度图像具有较好的检测效果,与传统的Sobel、Canny算法相比,具有边缘连续、清晰的检测效果。

After linear equaling histogram, binary processing, smoothing and removing noise for image, edge detection based on dilate - erode operator is processed. Experiment results are obtained by applying the edge detector on the noisy and low - contrast images, which prove to be more efficient than the Sobel and the Canny edge detectors.