Embedded Machine Vision Algorithm Platform Based on Graph Programming

Simplifying the development method of embedded vision platform can improve the application value of embedded machine vision platform, but there is a problem that the development effect is not satisfactory. Code programming algorithms cannot improve the effect of embedded machine vision platform development, and the development efficiency is low. Therefore, this paper proposes a graph programming algorithm to develop an embedded machine vision platform. First, the image processing data is packaged into graphic components, and developers develop the embedded machine vision platform through the parameter tuning and code generation of the graphic components, and then analyze the comprehensive effect of the developed embedded machine vision platform. The MATLAB simulation results show that the graph programming algorithm proposed in this paper can effectively improve the efficiency of platform development, shorten the platform development cycle, and is superior to the code programming algorithm in all aspects.