基于预测的自适应边缘检测新方法

图像的边缘是图像最基本的特征之一,边缘检测是提取图像特征的重要手段.首先利用梯度调节预测器(Gradient Adjusted Predictor:GAP)对图像进行预测,然后针对预测得到的误差图像,提出了一种基于梯度均值直方图的自适应阈值选取方法,利用得到的阈值来分类边缘与非边缘;为了获得单像素边缘,利用细化算法对边缘图像进一步细化,得到最后的边缘图像.仿真结果表明,与其它方法相比,本文方法检测到的边缘边界特征细腻、连续,定位精度较高,得到的实验结果比较理想.

New Approach of Adaptive Edge Detection Based on Predictor

Edge is one of the most fundamental features.Edge detection is an important method to extract the image's characteristics.Firstly gradient adjusted predictor is used to predict the image,and then aiming at the gained error image,a new adapted approach to selected threshold based on gradient mean-value histogram is proposed,and classified edge and non-edge by the gained threshold;to obtain single pixel edges,the gained edge image is far thinned by the thinning algorithm,and the last edge image is achieved.Si...