Machine vision system used for real - time detection inter - row weeds 結(jié)合顏色和形態(tài)特征的雜草實(shí)時(shí)識(shí)別方法
In this paper we study the method to detect the inter - row weeds in wheat field 本文就進(jìn)行了基于圖像處理技術(shù)的麥田行間雜草的實(shí)時(shí)識(shí)別方法的研究。
5 . the seed fill algorithm in graphics was introduced into the between - rows weed detection to fill the areas connected with the centre of the crop row . in order to gain the faster processing speed , an improved scan - line seed fill algorithm was developed successfully 根據(jù)雜草多數(shù)分布于作物行之間的裸土區(qū)的位置特征,首次引入圖形學(xué)中的種子填充算法識(shí)別行間雜草,并且針對(duì)傳統(tǒng)種子填充算法比較費(fèi)時(shí)的缺點(diǎn),研究改進(jìn)的掃描線種子填充算法,顯著提高了填充速度。
3 . because of the severe occluding of drilling crop leaves , it was difficult to extract shape and texture feature , so a new approach to detect the between - rows weed was discussed on the basis of the position feature , where crop was regularly sown as a constant row space and most weed were distributed on the bare - soil between crop rows during 3 leaves to 5 leaves seedling stage 針對(duì)小麥等條播作物田間場(chǎng)景中葉片嚴(yán)重交疊致使形狀和紋理特征提取困難的問(wèn)題,利用條播作物3 5葉苗期田間場(chǎng)景中作物成行排列、雜草多數(shù)分布于作物行之間的裸土區(qū)的特點(diǎn),研究了位置特征識(shí)別行間雜草的方法。