Image single-pixel-precision edge detection algorithm based on LMS prediction
基于最小均方预测的图像单像素精度边缘检测算法

To gain better effect of edge detection, an algorithm based on the idea of prediction was proposed with the help of LMS adaptive transversal filter theory which was commonly used in digital signal processing. Because the low frequency area of one image can be modeled as a stationary stochastic process, the LMS algorithm could be adopted. Besides edge detection, we also added an auxiliary criterion which could assure that the LMS algorithm have attained convergence after the oscillation caused by the edge encounter, This criterion can lead to single-pixel-precision results which was one important object of edge detection.