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A Statistical Method Based on The Image of The Ore Partical Size Distribution

机译:一种基于矿石粒度分布图像的统计方法

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A statistical method of particle size distribution is researched in order to measure the mineral blasting effect. Aimed at resolving the problems of sensitivity to noise and over-segmentation existing in the traditional watershed algorithm(TWA), a improved watershed segmentation scheme based on morphological reconstruction and mark extraction is presented. Firstly, two-stage grayscale morphological reconstruction (TGMR)is employed to filter the image. Secondly, the watershed seed area and the watershed line area are pre-calibrated in the gradient image. Finally, the watershed transformation(WT) is conducted so as to further eliminate over-segmentation. Simulations show that the method can effectively remove the noise jamming and restrain the over-segmentation. It is also able to accurately locate the ore region contour in order to improve the segmentation results.
机译:研究了粒度分布的统计方法,以测量矿物爆破效果。旨在解决传统流域算法(TWA)中存在的噪声和过分的敏感性问题,提出了一种改进的基于形态重建和标记提取的流域分段方案。首先,采用两级灰度形态重建(TGMR)来过滤图像。其次,在梯度图像中预先校准流域种子区域和流域线区域。最后,进行了流域变换(WT),以进一步消除过度分割。仿真表明,该方法可以有效地消除噪声干扰并抑制过度分割。它还能够准确地定位矿区轮廓以改善分段结果。

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