In digital image processing

edge detection is an important content.Commonly used edge detection methods

such as the method of detection the maximum gradient

the method of detection the second derivative of the zero-crossing point

statistical-based method and wavelet multiscale edge detection method

etc.

there is difficulty to determine the parameters of reasonable threshold.The Edgeflow method synthesizes the brightness

texture and phase characteristics of a variety of image information to meet the opposite direction of the edge of streams to determine the location of the edge of an object

it solved the problem that the threshold value of the traditional image segmentation algorithm based on the edge is difficult to determine.This paper discusses the principle of image segmentation algorithm based on edge flow

adjusts the algorithm and designs a predictive coding model to achieve.The results show that: Edgeflow method adjusts parameter less and detection effect is better.