本文選題：煤　切入點(diǎn)：矸石　出處：《煤炭科學(xué)技術(shù)》2017年07期 　論文類型：期刊論文

【摘要】：為實(shí)現(xiàn)煤矸自動識別及快速分選,利用煤與矸石的紋理特征與輪廓表面灰度級別等差異較大的特點(diǎn),對于二者的單一顏色灰度圖像,采取平滑濾波、降噪等方法處理,應(yīng)用差分盒維法求得二者灰度圖像分形維數(shù),以區(qū)分煤與矸石圖像表面紋理粗糙度。試驗(yàn)結(jié)果表明,煤和矸石的分形維數(shù)有明顯的不同,煤的分形維數(shù)要大于矸石,以數(shù)值2.450 0為分界點(diǎn),煤的分形維數(shù)在分界點(diǎn)之上,矸石的分形維數(shù)在分界點(diǎn)之下。根據(jù)這一差異可有望實(shí)現(xiàn)煤矸的自動識別,為實(shí)現(xiàn)一種全新的煤矸分選系統(tǒng)奠定理論基礎(chǔ)。
[Abstract]:In order to realize the automatic recognition and fast sorting of coal and gangue, the texture features of coal and gangue and the grayscale level of contour surface are quite different. For the single color grayscale image of coal and gangue, the methods of smoothing filtering and noise reduction are adopted. In order to distinguish the surface roughness of coal and gangue images, the fractal dimension of grayscale image is obtained by differential box dimension method. The experimental results show that the fractal dimension of coal and gangue is obviously different, and the fractal dimension of coal is larger than that of gangue. The fractal dimension of coal is above the boundary point, and the fractal dimension of gangue is below the boundary point. According to this difference, it is possible to realize the automatic recognition of coal and gangue, which will lay a theoretical foundation for the realization of a new separation system of coal and gangue.
【作者單位】： 中國礦業(yè)大學(xué)(北京)機(jī)電與信息工程學(xué)院;
【分類號】：TD94

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 孫學(xué)陽;梁倩文;苗霖田;;保水采煤技術(shù)研究現(xiàn)狀及發(fā)展趨勢[J];煤炭科學(xué)技術(shù);2017年01期

2 賴科學(xué);陳朗;周偉松;余坤;何濤;;一種改進(jìn)差分盒維法提取齒環(huán)分形特征的研究[J];湖北工業(yè)大學(xué)學(xué)報;2016年02期

3 武f，

本文編號：1598698