矿石图像受空间域图像增强算法的影响研究 |
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引用本文: | 杨 震,段 云.矿石图像受空间域图像增强算法的影响研究[J].有色金属(矿山部分),2020,72(6):116-122. |
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作者姓名: | 杨 震 段 云 |
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作者单位: | 矿冶科技集团有限公司,矿冶科技集团有限公司 |
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基金项目: | “十三五”国家重点研发计划项目(2017YFC0804703);2018年西城区优秀人才培养资助项目(20180029) |
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摘 要: | 图像增强算法是矿石图像处理系统中至关重要的环节,也是矿石图像处理算法中的重点和难点。仅对比增强后的矿石图像,无法对图像的好坏给出定量的评价。经过图像增强、二值化、形态学处理、颗粒识别等过程得到矿石颗粒参数,提出公式验证直方图均衡、灰度变换、滤波等算法对矿石图像的影响。结果表明,直方图均衡算法、低通滤波算法在矿石图像处理系统中表现较好。
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关 键 词: | 图像增强 图像处理 块度评价 灰度变换 滤波 |
收稿时间: | 2020/4/20 0:00:00 |
修稿时间: | 2020/6/2 0:00:00 |
Study on the influence of ore image by spatial domain image enhancement algorithm |
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Authors: | YANG Zhen and DUAN Yun |
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Affiliation: | BGRIMM Technology Group,BGRIMM Technology Group |
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Abstract: | The image enhancement algorithm is a crucial link in the ore image processing system, and an important and difficult point in the ore image processing algorithm. Only by comparing the enhanced ore image with the unprocessed ones cannot obtain a quantitative evaluation of the quality of the image. This paper proposed to obtain ore particle parameters through image enhancement, binarization, morphological processing, particle recognition and other processes, and formulated to verify the influence of histogram equalization, grayscale transformation, filtering and other algorithms on the ore image. The result showed that the low-pass filtering algorithm and equalize performed better in the ore image processing system. |
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Keywords: | Image enhancement Image process Block evaluation Gray transform Filtering |
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