本文選題：濃度場(chǎng) + 灰度　； 參考：《水動(dòng)力學(xué)研究與進(jìn)展(A輯)》2016年06期

【摘要】：利用數(shù)字圖像處理技術(shù)是當(dāng)前研究環(huán)境污染物擴(kuò)散機(jī)理的重要手段。該文通過(guò)水槽實(shí)驗(yàn),分析了污染物圖像的灰度與污染物的濃度、光源的距離以及排放口所在水深的關(guān)系,并建立了污染物濃度與圖像灰度關(guān)系的方程。利用該方程對(duì)射流在橫流中測(cè)量的圖像進(jìn)行了濃度場(chǎng)計(jì)算,得到的結(jié)果與實(shí)際情況吻合較好,因此,該方法能廣泛應(yīng)用于物質(zhì)擴(kuò)散機(jī)理的研究。
[Abstract]:Digital image processing is an important method to study the diffusion mechanism of environmental pollutants. In this paper, the relationship between the gray scale of the pollutant image and the concentration of the pollutant, the distance of the light source and the water depth of the discharge port is analyzed through the flume experiment, and the equation of the relationship between the concentration of the pollutant and the gray level of the image is established. By using the equation, the concentration field of the image measured by the jet in the crossflow is calculated, and the results are in good agreement with the actual situation. Therefore, the method can be widely used in the study of the diffusion mechanism of matter.
【作者單位】： 上海海洋大學(xué)海洋科學(xué)學(xué)院;
【基金】：國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(2012CB957704)~~
【分類號(hào)】：TP391.41

【參考文獻(xiàn)】

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本文編號(hào)：2003955