作物數(shù)字圖像分割誤差的影響因素研究

背景分割是機(jī)器視覺(jué)圖像處理的重要環(huán)節(jié)，在室外自然光照條件下，影響作物圖像分割質(zhì)量的因素有很多，為了解多種影響因素對(duì)作物圖像分割質(zhì)量產(chǎn)生的影響及其影響規(guī)律，給機(jī)器視覺(jué)實(shí)時(shí)識(shí)別作物提供參考，該文通過(guò)正交試驗(yàn)的方法，以作物圖像的分割誤差為指標(biāo)，并借助計(jì)算機(jī)統(tǒng)計(jì)分析軟件，研究了光照強(qiáng)度、太陽(yáng)高度角、土壤干濕程度和拍攝角度四種因素對(duì)青椒圖像分割質(zhì)量的影響，獲得了影響青椒圖像分割質(zhì)量的主次因素及影響規(guī)律。
關(guān)鍵詞：圖像分割；誤差；正交試驗(yàn)；作物
Studies on Factors Influencing Digital Image Segmentation of Crop Mao Hanping，Qian Dan
(Institute of Agriculture Engineering, Jiangsu University, Jiangsu Province Key Laboratory of Modern Agriculture Equipment and Technology. Zhenjiang 212013, China) Abstract: Image segmentation is important in digital image processing, there are multi-factors influencing image segmentation of crops in outdoor entironments，in order to find out main factors and their rules, orthogonal experiments are performed and four factors are studied. Through computer statistic analysis software, the main and subordinate factors and their influence rules on image segmentation of green pepper are obtained.
Key words: image segmentation; error; orthogonal experiment; crop