数字图像处理技术在古陶瓷研究中的应用  

Application of Digital Image Processing Technology in the Study of Ancient Ceramics

作　　者：胡佳[1] HU Jia(School of Mathematics and Information Science,Nanchang Normal University,Jiangxi 330029,China)

机构地区：[1]南昌师范学院数学与信息科学学院,江西330029

出　　处：《电子技术（上海）》2023年第11期200-203,共4页Electronic Technology

摘　　要：阐述陶瓷工艺的修复困难因素,提出在修复过程中,通过使用图形图像处理技术对陶瓷图片进行分析,实现古陶瓷的修复。从心理学角度入手,可以从多个方面对于对古陶瓷修复进行艺术设计。方法为对于有“椒盐”噪声污染的,可以通过中值滤波去除噪声,使用到了中值滤波算法。其次,使用了图像增强技术,使用空域滤波的平滑滤波和锐化滤波。平滑滤波采用平滑滤波器对图像滤波,锐化滤波采用“原图-低通图像”及“原图-高通图像”的方法锐化图像。探讨高斯平滑滤波器,高斯平滑滤波器通常用于降低噪音,为各向同性,即它们在两个维度上具有相同的标准差,用标准差递增的各向同性高斯平滑核对图像进行滤波。最后,使用了图像分割修复技术。通过以上的方法,得到了对图片进行了灰度化、调整了亮度和直方图均衡化,对图片进行了滤波处理,创建纹理图像和使用K均值聚类实现基于古陶瓷颜色的分割,从而较好地实现了对古陶瓷图片的数字图像处理。This paper describes the difficulties in repairing ceramic technology and proposes the use of graphic image processing technology to analyze ceramic images during the repair process,in order to achieve the restoration of ancient ceramics.From a psychological perspective,it can provide artistic design for the restoration of ancient ceramics from multiple perspectives.The method is to use median filtering to remove noise pollution caused by salt and pepper,and the median filtering algorithm is used.Secondly,it utilizes image enhancement techniques,including smooth filtering and sharpening filtering using spatial filtering.Smooth filtering uses a smooth filter to filter the image,while sharpening filtering uses the methods of"original image low-pass image"and"original image high pass image"to sharpen the image.It explores Gaussian smoothing filters,which are commonly used to reduce noise and are isotropic,meaning they have the same standard deviation in two dimensions.The image is filtered using an isotropic Gaussian smoothing kernel with increasing standard deviation.Finally,it utilizes image segmentation repair techniques.Through the above methods,the image was grayed out,brightness was adjusted,and histogram equalization was achieved.The image was filtered,texture images were created,and K-means clustering was used to achieve color segmentation based on ancient ceramics.As a result,digital image processing of ancient ceramic images was well achieved.

关 键 词：图像识别 去噪技术 图像增强 图像分割修复 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]