【摘要】：為了有效減弱高動(dòng)態(tài)環(huán)境對(duì)圖像采集的干擾,利用模糊圖像的頻譜特性,提出了一種適合不同模糊尺度的運(yùn)動(dòng)模糊方向估計(jì)方法。該方法對(duì)比不同模糊尺度圖像頻譜中心亮條紋邊緣特征的差別,通過(guò)計(jì)算其曲率半徑實(shí)現(xiàn)不同模糊尺度圖像的量化鑒別,在確定圖像模糊尺度的大小之后,分別利用倒頻譜、二次傅氏變換對(duì)模糊圖像頻譜中心亮線特征進(jìn)行提取,考慮圖像高寬比、中心十字亮線的不利影響,在二值化處理的基礎(chǔ)上剔除十字亮線,通過(guò)亮線特征點(diǎn)直線擬合完成模糊方向估計(jì)。實(shí)驗(yàn)結(jié)果表明,該算法能夠有效鑒別不同模糊尺度的運(yùn)動(dòng)模糊方向,估計(jì)精度較其他同類算法更高,相對(duì)誤差率均小于0.02。
[Abstract]:In order to effectively reduce the interference of high dynamic environment to image acquisition, a motion blur direction estimation method suitable for different fuzzy scales is proposed by using the spectral characteristics of blurred images. In this method, the difference of the edge features of the center bright stripes of different fuzzy scale images is compared, and the quantitative identification of different fuzzy scale images is realized by calculating its curvature radius. After the size of the fuzzy scale of the image is determined, the cepstrum is used respectively. The second Fourier transform is used to extract the feature of the center bright line of the blurred image spectrum. Considering the adverse effects of the aspect ratio of the image and the center cross bright line, the cross bright line is eliminated on the basis of the binary processing. The fuzzy direction estimation is accomplished by fitting the feature points of bright lines. Experimental results show that the proposed algorithm can effectively identify the direction of motion blur with different fuzzy scales, and the estimation accuracy is higher than that of other similar algorithms, and the relative error rate is less than 0.02.
【作者單位】： 空軍工程大學(xué)航空航天工程學(xué)院;
【基金】：陜西省自然科學(xué)基金(2014JM8332) 航空科學(xué)基金(20155896025)
【分類號(hào)】：TP391.41
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本文編號(hào)：2306743