农业工程学报
農業工程學報
농업공정학보
2001年
2期
154-156
,共3页
纪寿文%王荣本%陈佳娟%赵学笃
紀壽文%王榮本%陳佳娟%趙學篤
기수문%왕영본%진가연%조학독
计算机视觉%图像处理%玉米%杂草
計算機視覺%圖像處理%玉米%雜草
계산궤시각%도상처리%옥미%잡초
利用计算机图像处理技术分析了玉米苗期田间杂草的特征量,识别出田间杂草并确定了杂草的位置和生长状况。研究中采用双峰法滤除了土壤背景,根据投影面积、叶长、叶宽识别出了杂草,并且根据杂草投影面积确定出了杂草密度。实验结果表明,此方法可有效地识别出玉米苗期田间细长的单子叶杂草。
利用計算機圖像處理技術分析瞭玉米苗期田間雜草的特徵量,識彆齣田間雜草併確定瞭雜草的位置和生長狀況。研究中採用雙峰法濾除瞭土壤揹景,根據投影麵積、葉長、葉寬識彆齣瞭雜草,併且根據雜草投影麵積確定齣瞭雜草密度。實驗結果錶明,此方法可有效地識彆齣玉米苗期田間細長的單子葉雜草。
이용계산궤도상처리기술분석료옥미묘기전간잡초적특정량,식별출전간잡초병학정료잡초적위치화생장상황。연구중채용쌍봉법려제료토양배경,근거투영면적、협장、협관식별출료잡초,병차근거잡초투영면적학정출료잡초밀도。실험결과표명,차방법가유효지식별출옥미묘기전간세장적단자협잡초。
By using computer image processing technology, features of weed in the corn seedling field were analyzed, the field weed was recognized from the corn seedling, the weed position and growing state were found out. In the research, the two-apex method was used to filter soil background, the weed was recognized depending on projective area, leaf length and width, weed growing state was confirmed according to weed projective area, weed position was calculated depending on projective area center. The experiment showed that the method could identify acerose endogen weed correctly.