本文選題：計(jì)算機(jī)應(yīng)用　切入點(diǎn)：熱波檢測　出處：《吉林大學(xué)學(xué)報(工學(xué)版)》2017年03期

【摘要】：針對傳統(tǒng)Otsu法在圖像分割中存在的計(jì)算量大、效率低的問題,提出了一種基于GA-Otsu的熱波圖像分割方法。該方法充分發(fā)揮了遺傳算法的全局尋優(yōu)能力,快速地求解熱波圖像分割的最佳閾值,縮短了損傷的分割時間。通過與人工閾值法的分割結(jié)果進(jìn)行對比,表明本文方法不僅保持了沖擊損傷的基本形狀,而且對沖擊點(diǎn)位置的分割提取也較為準(zhǔn)確。最后,通過對缺陷的定量識別驗(yàn)證了本文方法在熱波檢測圖像分割中的有效性。
[Abstract]:Aiming at the problems of large computation and low efficiency of traditional Otsu method in image segmentation, a thermal wave image segmentation method based on GA-Otsu is proposed. This method gives full play to the global optimization ability of genetic algorithm. The optimal threshold of thermal wave image segmentation is solved quickly and the time of damage segmentation is shortened. By comparing with the segmentation result of artificial threshold method, it is shown that the proposed method not only keeps the basic shape of impact damage, And the location of impact point segmentation is also more accurate. Finally, through the quantitative identification of defects, the effectiveness of this method in thermal wave detection image segmentation is verified.
【作者單位】： 西北大學(xué)信息科學(xué)與技術(shù)學(xué)院;咸陽師范學(xué)院教育科學(xué)學(xué)院;北京師范大學(xué)信息科學(xué)與技術(shù)學(xué)院;
【基金】：國家自然科學(xué)基金項(xiàng)目(61373117,61305032)
【分類號】：TP391.41
，

本文編號：1659957