本文選題：機器視覺 + 紙張疊層計數(shù)��； 參考：《湖南工業(yè)大學(xué)》2017年碩士論文

【摘要】：在包裝、印刷部門業(yè)務(wù)調(diào)度過程紙張計量、分解等工序,目前采用的方法主要有人工測量和機械設(shè)備測量,由于人工計數(shù)受主觀因素影響較大,機械設(shè)備易對紙張造成損壞,本文設(shè)計了基于機器視覺的紙張疊層間接計數(shù)系統(tǒng),采用基于機器視覺辨識紙張及測量厚度,利用數(shù)顯高度尺測量總高度計算紙張張數(shù)。本文主要的研究內(nèi)容及相關(guān)結(jié)論包括:針對標(biāo)準(zhǔn)紙張疊層數(shù)量多,檢測高度高,單視角成像難以獲取整體信息,多視角全方位獲取圖像成本較高,分段采集圖像后拼接式的計數(shù)方法,算法較復(fù)雜等問題,設(shè)計了采樣式間接計數(shù)方法,首先用數(shù)顯高度尺測量整垛紙的總高度,然后對疊層側(cè)面上、中、下三個位置進(jìn)行取樣建立紙張壓力厚度模型,通過視覺的方法計算一個標(biāo)準(zhǔn)張所占的厚度,最后根據(jù)總高度與單張厚度的比值,估算整垛紙張數(shù)量。實驗證明該方法簡單快捷,準(zhǔn)確率高。針對用全局特征做圖像分割后進(jìn)行紙張計數(shù)存在閾值難以選取的問題,根據(jù)紙張邊緣灰度跳變特征,設(shè)計算法檢測標(biāo)記之間的紙張數(shù)量,首先從標(biāo)記的顏色分布特征分析,可以用灰度投影的方法判斷計數(shù)的起止點,其次為了保護(hù)紙張邊緣特性,選擇保護(hù)邊緣的平滑濾波器進(jìn)行濾波處理,并用二維Gabor濾波器對紙張邊緣進(jìn)行增強,最后由于疊層紙張不可避免的存在突起或浮起、紙張松散、間隙寬大等問題,對紙張排列空間位置關(guān)系和紙張平均寬度進(jìn)行分析和估算,有效控制了漏檢、誤檢的情況,提高了計數(shù)準(zhǔn)確率,計數(shù)準(zhǔn)確率可以達(dá)到98%以上。最后設(shè)計了自動化的紙張疊層計數(shù)系統(tǒng),并對不同批次的一系列相似疊層進(jìn)行計數(shù)。測試結(jié)果表明對于檢測高度在1米以上疊層紙張計數(shù)效果理想,計數(shù)準(zhǔn)確率在99%以上,同時分析了產(chǎn)生誤差的因素及優(yōu)化方向。
[Abstract]:In the packaging, printing department business scheduling process paper measurement, decomposition and other processes, the main methods used at present are manual measurement and mechanical equipment measurement. Because manual counting is greatly affected by subjective factors, machinery and equipment are easy to cause damage to paper. An indirect paper counting system based on machine vision is designed in this paper. The paper is based on machine vision to identify the paper and measure the thickness. The paper tensor is calculated by using the digital display height ruler to measure the total height. The main research contents and related conclusions of this paper include: aiming at the large number of standard paper laminated, high detection height, single view imaging is difficult to obtain the whole information, and multi-view omnidirectional image acquisition cost is high. In this paper, an indirect counting method of collecting pattern is designed. Firstly, the total height of the whole stack paper is measured with digital display height ruler, and then, on the side of the stack, in the middle of the stack, The paper pressure thickness model was established by sampling in the next three positions, and the thickness of a standard sheet was calculated by visual method. Finally, according to the ratio of total height to single sheet thickness, the amount of paper stack was estimated. Experiments show that this method is simple and fast, and has high accuracy. In order to solve the problem that it is difficult to select the threshold of paper counting after image segmentation with global features, according to the grayscale jump feature of the edge of paper, an algorithm is designed to detect the number of papers between the labels. Firstly, the color distribution features of the labels are analyzed. The method of gray projection can be used to determine the starting and ending points of the count. Secondly, in order to protect the edge characteristics of the paper, the smooth filter with edge protection is selected for filter processing, and the edge of the paper is enhanced by two-dimensional Gabor filter. Finally, due to the inevitable problems such as bulge or floating, loose paper and wide gap, the paper arrangement spatial position relationship and the average width of paper are analyzed and estimated, which effectively controls the situation of missed detection and false detection. The accuracy of counting is improved, and the accuracy of counting can reach more than 98%. Finally, an automatic paper stack counting system is designed, and a series of similar layers of different batches are counted. The test results show that the counting effect of laminated paper is ideal and the counting accuracy is more than 99%. At the same time, the factors causing errors and the optimization direction are analyzed.
【學(xué)位授予單位】：湖南工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TS801.8;TP391.41

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本文編號：2047673