基于计算机视觉的原木高出材率的研究

计算机科学 ›› 2018, Vol. 45 ›› Issue (11A): 176-179.

基于计算机视觉的原木高出材率的研究

钟平川¹, 王娜¹, 肖一荻², 郑泽忠¹

电子科技大学资源与环境学院成都611731¹
电子科技大学格拉斯哥学院成都611731²

出版日期:2019-02-26 发布日期:2019-02-26
作者简介:钟平川主要研究方向为图像处理,E-mail:2015180201010@std.uestc.edu.cn;王娜硕士生,主要研究方向为图像处理;肖一荻主要研究方向为图像处理;郑泽忠副教授,主要研究方向为图像处理。
基金资助:
本文受电子科技大学大学生创新创业训练计划项目(201810614525,201810614536)资助。

Research on High Rate of Log’s Output Based on Computer Vision

ZHONG Ping-chuan¹, WANG Na¹, XIAO Yi-di², ZHENG Ze-zhong¹

School of Resources and Environment,University of Electronic Science and Technology of China,Chengdu 611731,China¹
Glasgow College,University of Electronic Science and Technology of China,Chengdu 611731,China²

Online:2019-02-26 Published:2019-02-26

摘要/Abstract

摘要： 计算机能模拟人眼视觉环境来甄别、测量视野中的事物,随着精度的不断提高,计算机视觉能代替人眼实现简单、重复的人工操作。计算机视觉结合原木剖料可以提高原木的出材率,减少木材损耗。凭借计算机的高效性、准确性,计算机视觉能实现原木的最大利用,最大程度减少生成方木浪费的原料, 提高原木出材率。将所提算法应用于自动化带锯原木切割系统的基本流程是通过图像预处理来消除图像噪声,通过颜色分割去除背景,通过边缘检测给出感兴趣区域的轮廓,应用形态学运算连接和填补被误处理的轮廓边缘,计算最大面积的拟合椭圆。实验结果表明,该算法可以满足实际生产的需要,实验精度达到95%以上。

关键词: OpenCV, 出材率, 拟合椭圆, 图像处理, 原木轮廓

Abstract: The computer can simulate the human visual environment to identify and measure things in the field of vision.With the increase of accuracy,computer vision can replace the function of human’s eyes to achieve simple and repetitive manual operations.The introduction of computer vision into logs can increase the yield of logs,reduce wood loss,maxmize the utilization rate of logs with high-efficiency and accurate performance of the computer,minimize the production of raw materials that generate square waste,and increase the output rate of logs.This algorithm is applied to automated band saw log cutting systems.The basic process includes eliminating image noise through image preproces-sing,removing the background through color segmentation,giving the contour of the region of interest by edge detection,filling the misprocessed contour edges through morphological operations,and calculating the largest area of the fitted ellipse.The experimental results show that the arithmetic can meet the requests of actual production,and the accuracy reaches 95%.

Key words: Fitting ellipse, Image processing, OpenCV, Outline of Log, Rate of output

中图分类号:

TP311

钟平川, 王娜, 肖一荻, 郑泽忠. 基于计算机视觉的原木高出材率的研究[J]. 计算机科学, 2018, 45(11A): 176-179. https://doi.org/

ZHONG Ping-chuan, WANG Na, XIAO Yi-di, ZHENG Ze-zhong. Research on High Rate of Log’s Output Based on Computer Vision[J]. Computer Science, 2018, 45(11A): 176-179. https://doi.org/

参考文献

[1]XU Z,WANG J,LIU Y,et al.A review of computer vision development and trends[J].Journal of Xi’an University of Posts and Telecommunications,2013,17(6):1-8.
[2]丁建文,业宁,王厚立,等.运用信息技术提高木材利用率和使用价值[J].木材加工机械,2007,18(1):44-46.
[3]ASILTURK I,UNUVAR A.Intelligent adaptive control and monitoring of band sawing using a neural-fuzzy system[J].Journal of Materials Processing Technology,2009,209(5):2302-2313.
[4]梅振荣,任洪娥,朱朦.基于非线性最小二乘原理的原木端面识别算法[J].计算机工程与应用,2012(2):177-178.
[5]刘明媚.基于区域显著性的彩色图像分割[J].电子设计工程,2013,21(18):133-135.
[6]刘越,彭宏京,钱素静.基于核空间 LLE 的彩色图像分割方法[J].计算机科学,2013,40(S1):180-183.
[7]梅振荣.基于端面图像处理的原木径级识别算法研究与实现[D].哈尔滨:东北林业大学,2011.
[8]赵亚凤,任洪娥.遗传算法和同态滤波在原木端面图像处理中的应用[J].东北林业大学学报,2014,42(2):129-132.
[9]CHENG H D,JIANG X H,SUN Y,et al.Color image segmentation:advances and prospects[J].Pattern Recognition,2001,34(12):2259-2281.
[10]景林,林耀海,温永仙,等.结合色彩特征和空域特征的成捆原木轮廓识别[J].计算机系统应用,2013,22(7):196-199.
[11]杨璟,朱雷.基于RGB颜色空间的彩色图像分割方法[J].计算机与现代化,2010(8):147-149.
[12]刘明媚.基于区域显著性的彩色图像分割[J].电子设计工程,2013,21(18):133-135.
[13]CANNY J.A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1986(6):679-698.
[14]曾俊.图像边缘检测技术及其应用研究[D].武汉:华中科技大学图书馆,2011.
[15]https://en.wikipedia.org/wiki/HSL_and_HSV#/media/File:HSV_color_solid_cone_chroma_gray.png.

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