【摘要】：裂縫是雪糕棒表面一種嚴(yán)重缺陷,對(duì)雪糕棒的加工和使用影響極大,然而部分又細(xì)又淺的裂縫與雪糕棒表面的木纖維紋絡(luò)具有諸多相似之處,使得當(dāng)前檢測(cè)算法提取效果不佳。針對(duì)該問(wèn)題,在對(duì)裂縫紋理及木纖維紋絡(luò)的特征進(jìn)行詳細(xì)分析的基礎(chǔ)之上,提出了一種基于紋理主瓣和旁瓣灰度特征相結(jié)合的檢測(cè)方案。首先建立紋理主瓣和旁瓣灰度特征提取基本模型;然后提取雪糕棒表面頭部全部紋理的邊緣;接著,根據(jù)建立的模型提取上一步驟所得各邊緣相應(yīng)紋理的主瓣和旁瓣灰度特征量,并根據(jù)主瓣特征量的數(shù)值大小初步鎖定其中屬于裂縫紋理的候選邊緣(其中包括全部的裂縫邊緣和部分木纖維紋絡(luò)邊緣);最后,通過(guò)旁瓣特征量與預(yù)設(shè)閾值的數(shù)值關(guān)系識(shí)別出上一步驟候選邊緣中的裂縫紋理邊緣,從而實(shí)現(xiàn)裂縫缺陷的檢測(cè)。在自建圖庫(kù)SUT-I3上進(jìn)行了測(cè)試,結(jié)果顯示所提方法在裂縫缺陷漏檢率為0的前提下,其誤檢率低至6.07%,相對(duì)于其他雪糕棒或木材表面裂縫檢測(cè)方法其誤檢率最少降低了9.29%,表明了所提方法的高效性,具有實(shí)際應(yīng)用價(jià)值。
[Abstract]:Crack is a serious defect on the surface of ice cream rod, which has a great influence on the processing and use of ice cream rod. However, some thin and shallow cracks have many similarities with the wood fiber veins on the surface of ice cream rod, which makes the current detection algorithm poor. In order to solve this problem, based on the detailed analysis of crack texture and wood fiber texture features, a detection scheme based on grayscale features of texture main lobe and sidelobe is proposed. Firstly, the basic models of grayscale feature extraction of main and sidelobe are established, then the edge of all the texture on the surface of ice cream bar is extracted. Then, according to the established model, the grayscale features of the corresponding texture of each edge are extracted from the previous step. According to the value of the characteristic quantity of the main lobe, the candidate edges which belong to the fissure texture are preliminarily locked (including all the fissures and some wood fiber fringes). Finally, through the numerical relationship between the sidelobe characteristic quantity and the preset threshold value, the edge of the crack texture in the candidate edge of the previous step is identified, and the crack defect detection is realized. The test results on SUT-I3 show that the error detection rate of the proposed method is as low as 6.07 when the crack defect leakage rate is 0. Compared with other ice cream bars or wood surface crack detection methods, the false detection rate is reduced by 9.29%, which indicates that the proposed method is effective and has practical application value.
【作者單位】： 沈陽(yáng)工業(yè)大學(xué)視覺(jué)檢測(cè)技術(shù)研究所;遼寧省機(jī)器視覺(jué)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(61271325)項(xiàng)目資助
【分類號(hào)】：TP391.41;TS277
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本文編號(hào)：2337524