發(fā)布時(shí)間：2018-03-17 17:31

  本文選題：雙目立體視覺(jué)　切入點(diǎn)：自動(dòng)識(shí)別　出處：《農(nóng)機(jī)化研究》2017年07期 　論文類(lèi)型：期刊論文

【摘要】：針對(duì)西紅柿種植過(guò)程中,采摘費(fèi)時(shí)費(fèi)力的問(wèn)題,將計(jì)算機(jī)視覺(jué)技術(shù)與圖像處理和模式識(shí)別技術(shù)相結(jié)合,開(kāi)發(fā)了在自然背景條件下的西紅柿自動(dòng)識(shí)別系統(tǒng)。運(yùn)用雙目立體視覺(jué)系統(tǒng)來(lái)識(shí)別紅色西紅柿,去除原始圖像的噪聲、轉(zhuǎn)換圖像的灰度、對(duì)新圖像進(jìn)行分割和目標(biāo)特征提取,從背景中把西紅柿分離出來(lái);同時(shí),針對(duì)果實(shí)間存在的重疊問(wèn)題,采用圓形Hough變換算法,提取西紅柿的圓心坐標(biāo)和半徑特征,通過(guò)獲取T=Sqrt(s×l)圖像,恢復(fù)被遮擋西紅柿。利用該技術(shù),采集了不同條件下的100張西紅柿照片,其中99張照片被準(zhǔn)確識(shí)別,識(shí)別率達(dá)到9 9%以上,能夠較好地滿(mǎn)足西紅柿采摘工作的要求。
[Abstract]:In order to solve the problem of time-consuming and laborious harvesting in tomato planting, the computer vision technology is combined with image processing and pattern recognition technology. An automatic tomato recognition system under natural background is developed, which uses binocular stereo vision system to recognize red tomato, remove noise from original image, convert gray scale of image, segment new image and extract target feature. The tomato is separated from the background, and the circular Hough transform algorithm is used to extract the center coordinates and radius characteristics of the tomato. Using this technique, 100 tomato photos were collected under different conditions, 99 of which were identified accurately, and the recognition rate was over 9 9%, which could meet the requirements of tomato picking.
【作者單位】： 周口職業(yè)技術(shù)學(xué)院;
【基金】：河南省高等學(xué)校重點(diǎn)科研項(xiàng)目(15B520047)
【分類(lèi)號(hào)】：TP391.41;S225.92

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