本文選題：異性纖維 + 自動檢測系統(tǒng)�。� 參考：《河南科技大學(xué)》2017年碩士論文

【摘要】：近年來,由于全國棉花市場管理混亂,所收購的棉花中異性纖維嚴重超標,極大地影響了棉紡織產(chǎn)品的質(zhì)量,從而也影響了我國棉紡行業(yè)的國內(nèi)外的信譽,使棉紡織出口受到了很大的阻力。國外清除異纖的設(shè)備價格昂貴,且檢出效果并不理想,國內(nèi)有些企業(yè)雖已推出產(chǎn)品,但效果不好。為此,研制棉花異性纖維自動檢測系統(tǒng)來改進棉花初步加工工藝,提高棉紡織品的成品質(zhì)量,降低產(chǎn)品成本具有非常實際、重要的意義,同時也具有很好的市場價值和發(fā)展前景。本文在介紹了異性纖維分揀系統(tǒng)研究的背景及發(fā)展狀況下,提出了以計算機圖像處理技術(shù)為基礎(chǔ)的異性纖維分揀算法,并對該算法的實現(xiàn)進行了比較深入的分析和研究,通過嚴格論證與分析,建立了圖像處理的數(shù)學(xué)模型,即棉花在RGB空間的三維顏色數(shù)學(xué)模型,利用特征分析與類型歸納法,提出了針對普通異性纖維非線性雙閾值算法和針對細小雜質(zhì)的基于微分的圖像處理算法相結(jié)合,提高了圖形處理的效率,保證系統(tǒng)根據(jù)采集到的圖像數(shù)據(jù)能夠快速、準確的作出判斷。實現(xiàn)了對白色丙綸絲和頭發(fā)絲等細小雜質(zhì)兩方面檢測的突破。而對于硬軟件部分的實現(xiàn)則是合理搭建硬件系統(tǒng)平臺,尤其是在相機的非線性問題的解決及光源的選擇上,通過大量的實驗以求得最佳的信號輸入,使由硬件系統(tǒng)帶來的不利因素達到了最小化。而軟件系統(tǒng)則利用Visual C++6.0編制,在圖像采集卡、CCD攝像機、C8051F340單片機等硬件基礎(chǔ)上,充分發(fā)揮機器視覺技術(shù)的優(yōu)勢,實現(xiàn)了棉花異纖的在線、實時、高精度、非接觸快速的動態(tài)檢測及分揀。體現(xiàn)出了作為現(xiàn)代科學(xué)技術(shù)熱點領(lǐng)域的機器視覺技術(shù)的諸多優(yōu)點。最終經(jīng)過多次現(xiàn)場調(diào)試,證明該系統(tǒng)具有檢測速度快、分揀率高的特點。系統(tǒng)完全滿足工業(yè)檢測的要求。通過本文研究工作,研制并開發(fā)出具有自主知識產(chǎn)權(quán)的棉花異性纖維在線實時分揀系統(tǒng),并使之成為應(yīng)用于現(xiàn)場的工業(yè)級機器視覺在線檢測設(shè)備。
[Abstract]:In recent years, due to the confusion in the management of the national cotton market, the heterosexual fibers in the cotton purchased have seriously exceeded the standard, which has greatly affected the quality of cotton textile products, thus affecting the domestic and foreign reputation of the cotton textile industry in our country. Cotton textile exports are subject to great resistance. The price of foreign equipment for removing foreign fibers is expensive, and the detection effect is not satisfactory. Some domestic enterprises have launched products, but the effect is not good. Therefore, it is of great practical and important significance to develop an automatic testing system for cotton heterosexual fibers to improve the preliminary processing process of cotton, to improve the quality of finished products of cotton textiles, and to reduce the cost of the products. At the same time also has a good market value and development prospects. In this paper, the background and development of heterosexual fiber sorting system are introduced, and an algorithm of heterosexual fiber sorting based on computer image processing technology is put forward, and the realization of this algorithm is analyzed and studied deeply. Through strict demonstration and analysis, the mathematical model of image processing, that is, the 3D color mathematical model of cotton in RGB space, is established, and the method of feature analysis and type induction is used. A nonlinear double threshold algorithm for ordinary anisotropic fibers and a differential based image processing algorithm for fine impurities are proposed to improve the efficiency of graphics processing and ensure that the system can be fast according to the collected image data. Make an accurate judgment. A breakthrough was achieved in the detection of fine impurities such as white polypropylene filament and hair filament. For the hardware and software part, the hardware system platform is set up reasonably, especially in solving the nonlinear problem of the camera and the choice of the light source, through a large number of experiments to obtain the best signal input. Minimize the disadvantages caused by the hardware system. The software system is programmed by Visual C 6.0, based on the hardware such as C8051F340 single chip computer and so on, and the advantages of machine vision technology are brought into full play. The on-line, real-time and high precision of cotton fiber are realized. Non-contact fast dynamic detection and sorting. It embodies many advantages of machine vision technology, which is a hot field of modern science and technology. Finally, after many field debugging, it is proved that the system has the characteristics of fast detection speed and high sorting rate. The system fully meets the requirements of industrial inspection. Through the research work in this paper, a cotton heterosexual fiber on-line real-time sorting system with independent intellectual property rights has been developed, and it has become an industrial machine vision on-line testing equipment applied in the field.
【學(xué)位授予單位】：河南科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TS103.61;TP391.41

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