Analysis of computer vision on resin efficiency in particleboard

Abstract

This paper summarized the previous researches about resin efficiency of particleboard in the world, and introduced the computer vision (CV) technique on resin efficiency, which has the properties of high measuring speed, automatic pattern recognition and low environmental requirement, etc. The theory of the CV technique used for resin efficiency in particleboard was studied, along with the handling of resined-particle images and the gathering of relative gray image features. Some quantitative parameters describing the resin efficiency of particleboard were established, and the results indicated that the computer vision method on the resin efficiency was much better than others and can control the producing of particleboard more effect.

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