結(jié)合物鏡測(cè)試的梯度約束顯微成像質(zhì)量提升方法
發(fā)布時(shí)間:2019-06-03 14:25
【摘要】:光學(xué)顯微數(shù)碼成像系統(tǒng)中,光學(xué)退化是影響圖像質(zhì)量的重要因素。結(jié)合物鏡測(cè)試,提出了一種結(jié)合分視場(chǎng)點(diǎn)擴(kuò)散函數(shù)估計(jì)的梯度約束顯微圖像復(fù)原方法,并應(yīng)用于顯微鏡以形成質(zhì)量提升系統(tǒng)。通過物鏡調(diào)制傳遞函數(shù)測(cè)試,分視場(chǎng)計(jì)算獲取點(diǎn)擴(kuò)散函數(shù);引入零階范數(shù)梯度約束作為正則化項(xiàng),設(shè)計(jì)基于該約束的快速?gòu)?fù)原方法;并采用漸變加權(quán)拼接方法實(shí)現(xiàn)分視場(chǎng)復(fù)原結(jié)果的無(wú)縫拼接。對(duì)不同物鏡下的顯微圖像進(jìn)行了復(fù)原測(cè)試,并采用評(píng)價(jià)方法進(jìn)行評(píng)估。結(jié)果表明,本文方法給出的顯微圖像復(fù)原效果好、運(yùn)行速度快,對(duì)尺寸為2048pixel×1536pixel的圖像只需1.62s,適用于顯微成像系統(tǒng)。
[Abstract]:In the optical microscopic digital imaging system, optical degradation is an important factor that affects the quality of the image. In this paper, a gradient-constrained micro-image restoration method combined with the point-of-view point spread function estimation is proposed in combination with the objective test, and the method is applied to the microscope to form a mass lifting system. According to the objective modulation transfer function test, the point spread function is obtained by the field-of-view calculation; a zero-order norm gradient constraint is introduced as a regularized term, and a fast recovery method based on the constraint is designed; and a gradual weighted splicing method is adopted to realize the seamless splicing of the partial-view restoration result. The microscopic images under different objective lenses were tested and evaluated using the evaluation method. The results show that the image restoration effect is good, the running speed is fast, the image with the size of 2048 pixels and 1536 pixels is only 1.62 s, which is suitable for the micro-imaging system.
【作者單位】: 杭州電子科技大學(xué)電子信息學(xué)院;寧波永新光學(xué)股份有限公司;
【基金】:國(guó)家自然科學(xué)基金(61405052) 浙江省科技計(jì)劃項(xiàng)目(2017C01033)
【分類號(hào)】:TH74;TP391.41
本文編號(hào):2492000
[Abstract]:In the optical microscopic digital imaging system, optical degradation is an important factor that affects the quality of the image. In this paper, a gradient-constrained micro-image restoration method combined with the point-of-view point spread function estimation is proposed in combination with the objective test, and the method is applied to the microscope to form a mass lifting system. According to the objective modulation transfer function test, the point spread function is obtained by the field-of-view calculation; a zero-order norm gradient constraint is introduced as a regularized term, and a fast recovery method based on the constraint is designed; and a gradual weighted splicing method is adopted to realize the seamless splicing of the partial-view restoration result. The microscopic images under different objective lenses were tested and evaluated using the evaluation method. The results show that the image restoration effect is good, the running speed is fast, the image with the size of 2048 pixels and 1536 pixels is only 1.62 s, which is suitable for the micro-imaging system.
【作者單位】: 杭州電子科技大學(xué)電子信息學(xué)院;寧波永新光學(xué)股份有限公司;
【基金】:國(guó)家自然科學(xué)基金(61405052) 浙江省科技計(jì)劃項(xiàng)目(2017C01033)
【分類號(hào)】:TH74;TP391.41
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