摘要
在拍摄铝模天花图片过程中,光线暗、曝光不足都是造成图片整体亮度偏低的原因,使得图片丢失边缘细节信息。为了改善图像视觉效果,设计一种改进的直方图均衡化技术,即限制对比度自适应直方图均衡(CLAHE)算法。从计算初始直方图开始,对每个像素的出现频率都进行记录,汇总后得到初始直方图。在初始直方图的基础上,计算出正规化直方图和累计直方图并且求均衡化的映射关系,然后将结果写入新图像中。实验结果表明,经过CLAHE增强处理后,抑制了干扰区域,突出了图片中的特征点。与单独的直方图均衡算法相比,CLAHE能非常有效地提高铝模天花图像的清晰度与对比度。该算法易于实现,经济划算,具有实际应用价值。与当前主流算法相比,CLAHE算法效果更佳。
In the process of shooting aluminum mold ceiling pictures,dark light and insufficient exposure are the reasons for the overall low brightness of the picture,which makes the picture lose edge details.In order to improve the visual effect of the image,an improved histogram equalization technique called contrast limited adaptive histogram equalization(CLAHE)algorithm is designed.Start by the calculation of the initial histogram,the occurrence frequency of each pixel is recorded,and the initial histogram is obtained after summary.On the basis of the initial histogram,the normalized histogram and cumulative histogram are calculated and the mapping relationship is equalized,and then the results are written into the new image.The experimental results show that after CLAHE enhancement processing,the interference region is suppressed and the features in the image are highlighted.In comparison with histogram equalization algorithm alone,CLAHE can effectively improve the clarity and contrast of aluminum mold ceiling image.The algorithm is easy to be implemented,economical and cost⁃effective,and has practical application value.In comparison with the current mainstream algorithms,CLAHE algorithm is more effective.
作者
许佳琪
陈名煜
XU Jiaqi;CHEN Mingyu(School of Information Engineering,East China University of Technology,Nanchang 330000,China)
出处
《现代电子技术》
北大核心
2024年第3期39-42,共4页
Modern Electronics Technique
基金
江西省网络空间安全智能感知重点实验室开放基金(JKLCIP202205)。
