提高色选机参数设置和色选效率方法研究

摘要

This paper designs the threshold segmentation algorithm based on the pixel distribution histogram,and then with it write the software in the human machine interface to realize the function of capturing the material image and auto-matical y calculating threshold.Furthermore compare the RGB and YUV color space model,and explain why the chromaticity and luminance of YUV color space is more effective in color sorting.Final y this paper propose an adaptive multi-window threshold method to solve the problem that there needs two and more times in sorting the material like peanuts which has complex color and shape disease spots.%色选机阈值参数设置一直是色选机高效率工作的首要前提。提出了一种基于像素分布统计直方图的颜色阈值自动分割算法，并基于该算法在人机界面中编写交互软件实现待分选物料图像抓取以及阈值自动分割功能。此外以铁观音茶叶为实验材料，分析了YUV颜色模型应用于色选时的高效性。最后针对花生等复杂色斑物料分拣效率低的问题，提出一种自适应多窗口阈值处理方法，使用多窗口识别不同颜色形状的特征色斑，高效率的在一次色选中达到完全分选的效果。