基于数字图像处理技术的猪肚菇菌落表型性状分析  

Digital Image Processing Assisted Phenotypic Analysis of Pleurotus giganteus Colony

作　　者：胡冬 袁涛[2] 于海龙[3] 马超[2] 田明璐 李琳一[2] HU Dong;YUAN Tao;YU Hailong;MA Chao;TIAN Minglu;LI Linyi(College of Information Technology,Shanghai Ocean University,Shanghai 201306,China;Agricultural Information Institute of Science and Technology,Shanghai Academy of Agricultural Sciences,Shanghai 201403,China;Institute of Edible Fungi,Shanghai Academy of Agricultural Sciences,Shanghai 201403,China)

机构地区：[1]上海海洋大学信息学院,上海201306 [2]上海市农业科学院农业科技信息研究所,上海201403 [3]上海市农业科学院食用菌研究所,上海201403

出　　处：《食用菌学报》2022年第3期32-40,共9页Acta Edulis Fungi

基　　金：上海市科技兴农技术创新项目[沪农科创字(2022)第4-1号];上海市农业科学院卓越团队建设项目(沪农科卓[2022]015);国家重点研发计划(2020 YFD 1000300);国家现代农业产业技术体系(CARS-20)。

摘　　要：利用数字图像处理技术对猪肚菇(Pleurotus giganteus)菌落数字图像进行灰度化处理,通过菌落生长边缘检测,提取菌落边界、最小外接圆、最大内切圆、最小外接矩形等菌落形态特征量;通过建立菌落图像灰度共生矩阵,提取对比度和熵等菌落纹理特征量。基于菌落的数字图像特征量,定义菌落周长、菌落半径、菌落面积、菌落覆盖度、菌丝生长速度和基于面积变化的菌丝生长速度等6个与菌落大小相关的表型性状,菌落圆整度、菌落轴距比和菌落边缘整齐度等3个与菌落形状相关的表型性状以及菌落粗糙度、菌落均匀度、菌落沟纹深度、菌落生物量指数和菌落生物量变化率等5个与菌落纹理相关的表型性状,为食用菌菌落表型性状的智能识别和准确判别提供新的研究手段和思路,可加快食用菌育种和DUS测定工作中菌落表型信息定量化采集和分析的效率和准确性,促进食用菌表型组学研究深入发展。Using digital image processing techniques,images of Pleurotus giganteus colonies were grayed out,and then extracted for morphological characteristics such as colony boundary,minimum circumscribed circle,maximum inscribed circle and minimum bounding rectangle through detection of colony edge.Texture characteristics such as contrast and entropy were extracted by establishing a grayscale co-occurrence matrix.Based on the morphological and textural characteristics,colony phenotypic traits were defined as follows:six size-related traits including colony perimeter,colony radius,colony area,colony coverage,mycelial growth rate and colony area variation based mycelial growth rate;three shape-related traits including colony roundness,colony wheelbase ratio and colony edge neatness;five texture-related traits including colony roughness,colony uniformity,colony groove depth,colony biomass index and colony biomass change rate.These quantifiable indices provide a new approach for intelligent identification and accurate discrimination of phenotypic traits in edible mushroom colonies.They can be used in breeding and cultivation of edible mushrooms to expedite the process,and in DUS tests to increase the efficiency and accuracy of quantitative collection and analysis of colony phenotypic information.This new approach can also promote phenotypic group studies of edible fungi.

关 键 词：菌落大小 菌落形状 菌落纹理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] S646[自动化与计算机技术—计算机科学与技术]