Abstract

According to the demand of harmonia renewable particles sorting in domestic plastics recycling industry,mainly for white and gray recycled plastic particles,a mathematical model is built in RGB color space and a kind of high accuracy, real-time sorting algorithm based on image processing is proposed.This algorithm is intended to use related multiplication, addition and comparison operations of particles pixels R, G, B component,,instead of sorting algorithm based on the difference and threshold processing commonly used in domestic products,and verify its effectiveness through simulation.

Highlights

  • Waste plastics contains huge renewable resources, waste plastic for recycling and processing into recycled plastic is significant: Firstly, recycling can compensate for raw material consumption, and saving energy ; Secondly, it can reduce the white pollution formed by the discarded plastic trash to protect the environment;Thirdly,you can take advantage of recycled plastic as a raw material in manufacturing of plastic products to create considerable economic benefits for related industries.Since entering twenty-first Century,waste plastic recycling has received heightened attention from the world

  • Most of the domestic renewable particles sorting device use CCD camera acquisition capture renewable particles color information, calling sorting algorithm to achieve realtime sorting recycling particles base on the DSP or FPGA hardware platform.Mainstream sorting algorithms are based on image processing techniques to construct a three-dimensional mathematical model in the RGB color space, use difference and threshold algorithm to complete sorting process [2,3]

  • For white and gray recycling particles,the sorting algorithm based on the difference and the threshold operation is treated the qualified renewable particle image as a gray image, the image captured by the CCD camera is basically white,which means that the three component value of R, G, B are substantially equal in the renewable particles image data.In the RGB three-dimensional color space,such image data points located substantially on the main diagonal (Gray axis) which has the same angle with three axes,as shown in Figure 2.In the filming process,we capture the particles information through the reflected light,but the particles reflect light intensity is different at different angles,so the particles of the gray image data has a certain range

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Summary

Introduction

Waste plastics contains huge renewable resources, waste plastic for recycling and processing into recycled plastic is significant: Firstly, recycling can compensate for raw material consumption, and saving energy ; Secondly, it can reduce the white pollution formed by the discarded plastic trash to protect the environment;Thirdly,you can take advantage of recycled plastic as a raw material in manufacturing of plastic products to create considerable economic benefits for related industries.Since entering twenty-first Century,waste plastic recycling has received heightened attention from the world. To make better use of recycled plastics and generate more economic benefits, we need to sort particles of different colors, and achieve a certain sort of purity.recycled plastic particles (hereinafter referred to as renewable particles) sorting industry has broad market prospects.

RGB color space model of white renewable particles
Renewable particles sorting algorithm
Determine the Scope of Qualified Particle Data
D R2 G2 B2
Renewable Particle Real-time Sorting Algorithm
Algorithm Validation
Conclusion
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