Analysis of Enhancement Algorithms of Coal Mine Monitoring Image and Its Realizatio
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摘要: 针对煤矿井下粉尘多、光照差的恶劣环境使得矿井监控图像偏暗、对比度低、视觉效果差的特点,提出了一种基于小波变换和模糊理论的图像增强算法。该算法选择小波变换为工具分解图像,应用新的模糊隶属度和增强算子对高频信息进行模糊处理,利用直方图均衡化对低频信息进行处理,最后对图像进行重构。处理结果较好地增强了图像细节信息,从整体上改善了图像效果。Abstract: In view of characteristics of darker monitoring image, lower contrast ratio and poor visual effect caused by bad environment of intensive coal powder and weak illumination in coal mine underground, the paper put forward an algorithm of image enhancement based on wavelet transformation and fuzzy theory. The algorithm choses way of wavelet transformation to decompose image, then used new fuzzy membership function and enhancement operator to process high frequency information and used histogram equalization to process the low-frequency information, and finally reconstructed the image. The process results showed that more details information of the image was enhanced and the image effect was improved as a whole.
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