基于分数阶微分浮选气泡图像的研究
首发时间:2012-11-06
摘要:本文基于分数阶微分的原理特点,构造近似掩模算子来增强模糊的浮选气泡图像。在建立分数阶微分算子的基础上,为了选择最佳的模板中心参数,分析了分数阶微分模板中心参数值 、微分阶数与图像参数3者间的关系曲线。通过实验分析并计算对比图像的信噪比输出函数,可得出微分阶数在0.72~0.85之间时,对浮选图像可以获得最优的图像增强效果,使得图像边界的弱边缘信息和局部细节被加强。通过进一步的比较分析常规的各类图像增强的方式方法,结果表明研究的算法及其参数有一定的优越性。并深入探究了浮选气泡中的黑洞和亮点,说明了分数阶微分对于黑洞和亮点的气泡图像具有独特的优点。
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Froth flotation image research based on Fractional differential
Abstract:In this paper we based on the principle of fractional differential characteristic,which constructed an approximate mask operator to enhance images blurred flotation bubbles. On the basis of the establishment of fractional differential operator,it analyses the relationship between the differential template center parameter and differential order of and image parameters, then draw curves to describe the links between them. Obtained by experimental analysis and calculate image SNR output,we know that when v is between 0.72 and 0.85,we can get the optimal enhancement of the flotation image. Which can make the edges of the image information and the weak local details are enhanced. Further, by comparing various conventional methods of image enhancement, it shows that the algorithm and its parameters that we study on have certain advantages. And take further research on the flotation bubble of black holes and light spot, which has much impact on flotation. This means fractional order differential process black holes and light spot's flotation image with unique advantages.
Keywords: Fractional differential Flotation Bubble image Image Processing AutomaticControl
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