基于工业现场环境的图像增强方法研究
|
摘要
针对工业环境照明弱和光照不均等问题,运用一种结合空间域和频率域的图像增强方法对拍摄的混料颗粒图像进行增强处理。讨论直方图双向均衡化、拉普拉斯算子和高频提升滤波增强的基本原理:直方图双向均衡化是对直方图的灰度密度和灰度间距两个方向同时进行灰度化处理,能增强整幅图像的对比度;拉普拉斯变换能锐化图像,突出颗粒边缘细节,使颗粒能清晰呈现出来;高频提升滤波对傅里叶变换后的图像进行平滑处理,去除图像噪声。根据上述方法得到的实验结果表明,经新方法增强后图像的增强效果在图像均值、均方差、对比度增强系数方面较原图分别提高了30%、8倍和84%,且比使用单一某种增强方法的效果具有明显优势。
In allusion to the weak and uneven illumination problems of the industrial environment,an image enhancement method combining the spatial domain and frequency domain is adopted to conduct enhancement processing of the shot mixed particle images. The basic principles of histogram bi-directional equalization,Laplacian operator and high-frequency emphasis filtering enhancement are discussed. During histogram bi-directional equalization,the grayscale processing is conducted from two directions of the gray density and gray interval of the histogram simultaneously,which can enhance the contrast of the whole image. The Laplace transform can sharpen images,and highlight the particle edge details so that the particles can be clearly presented. The high-frequency emphasis filtering is used to conduct smooth processing of the images after Fourier transform,so as to remove image noises. The experimental results obtained according to the above methods show that the enhancement effect of images enhanced using the new method is respectively 30%,8 times and 84% better in aspects of image mean,mean square and contrast enhancement coefficient than the effect of original images,and has a distinct advantage over the effect obtained using a single certain enhancement method.
In allusion to the weak and uneven illumination problems of the industrial environment,an image enhancement method combining the spatial domain and frequency domain is adopted to conduct enhancement processing of the shot mixed particle images. The basic principles of histogram bi-directional equalization,Laplacian operator and high-frequency emphasis filtering enhancement are discussed. During histogram bi-directional equalization,the grayscale processing is conducted from two directions of the gray density and gray interval of the histogram simultaneously,which can enhance the contrast of the whole image. The Laplace transform can sharpen images,and highlight the particle edge details so that the particles can be clearly presented. The high-frequency emphasis filtering is used to conduct smooth processing of the images after Fourier transform,so as to remove image noises. The experimental results obtained according to the above methods show that the enhancement effect of images enhanced using the new method is respectively 30%,8 times and 84% better in aspects of image mean,mean square and contrast enhancement coefficient than the effect of original images,and has a distinct advantage over the effect obtained using a single certain enhancement method.
引文
[1]赵峰博.烧结矿组成和结构对烧结矿质量的影响[J].科技与创新,2016(1):85.ZHAO Fengbo. Influence of sinter composition and structure on sinter quality[J]. Science and Technology&innovation,2016(1):85.
[2]张忍德,吕学伟,黄小波,等.铁矿粉接触角的测试及影响因素分析[J].钢铁研究学报,2012,24(12):57-62.ZHANG Rende,LüXuewei,HUANG Xiaobo,et al. Measurement and influencing factors on contact angle of iron ore powders[J]. Journal of iron and steel research,2012,24(12):57-62.
[3]王殿伟,王晶,许志杰,等.一种光照不均匀图像的自适应校正算法[J].系统工程与电子技术,2017,39(6):1383-1390.WANG Dianwei,WANG Jing,XU Zhijie,et al. Adaptive correction algorithm for non-uniform illumination images[J]. Systems engineering and electronics,2017,39(6):1383-1390.
[4] SHIN Y,JEONG S,LEE S. Efficient naturalness restoration for non-uniform illumination images[J]. IET image processing,2015,9(8):662-671.
[5]李宗妮,吴伟民,林志毅.一种采用改进蚁狮优化算法的图像增强方法[J].计算机应用研究,2018,35(4):1258-1260.LI Zongni,WU Weimin,LIN Zhiyi. Image enhancement method based on improved antlion optimization algorithm[J]. Application research of computers,2018,35(4):1258-1260.
[6]刘生东,刘佳琪,张雪峰,等.基于亮度自适应调整的低对比度红外图像增强算法[J].导弹与航天运载技术,2017(5):74-76.LIU Shengdong,LIU Jiaqi,ZHANG Xuefeng,et al. A low contrast infrared image enhancement algorithm based on luminance adaptive adjustment[J]. Missiles and space vehicles,2017(5):74-76.
[7]才娟.图像处理在珍珠粒度检测中的应用研究[D].桂林:桂林理工大学,2007.CAI Juan. Application research of image processing in pearl particle size detection[D]. Guilin:Guilin University of Technology,2007.
[8]王献礼,张永双,曲永新,等.基于数字图像处理技术的冰川堆积物粒度分析:以川西贡嘎山冰川堆积物为例[J].地质通报,2010,29(2):469-475.WANG Xianli, ZHANG Yongshuang, QU Yongxin, et al.Grain size analysis of glacial deposits based on digital image processing technology[J]. Geological bulletin of China,2010,29(2):469-475.
[9] ABBOOD A A,SULONG G,PETERS S U. A review of fingerprint image pre-processing[J]. Jurnal teknologi(Sciences&engineering),2014,69(2):79-84.
[10] KHAN T M,KHAN M A U,KONG Y. Fingerprint image enhancement using multi-scale DDFB based diffusion filters and modified Hong filters[J]. Optik,2014,125(16):4206-4214.
[11]周峥.图像增强算法及应用研究[D].北京:北京工业大学,2012.ZHOU Zheng. Image enhancement algorithm and its application research[D]. Beijing:Beijing University of Technology,2012.
[12]吴强,王新赛,贺明,等.一种结合小波分析与直方图的红外图像增强方法[J].应用光学,2011,32(3):464-467.WU Qiang,WANG Xinsai,HE Ming,et al. Infrared image enhancement based on wavelet analysis and histogram[J].Journal of applied optics,2011,32(3):464-467.
[13] RAJAVEL P. Image dependent brightness preserving histogram equalization[J]. IEEE transactions on consumer electronics,2010,56(2):756-763.
[14] TAN T L,SIM K S,TSO C P. Image enhancement using background brightness preserving histogram equalization[J].Electronics letters,2012,48(3):155-157.
[15]关雪梅.基于频域的图像增强技术研究[J].廊坊师范学院学报(自然科学版),2012,12(2):27-28.GUAN Xuemei. Study on image enhancement technique based on frequency domain[J]. Journal of Langfang Teachers University(Natural science edition),2012,12(2):27-28.
[2]张忍德,吕学伟,黄小波,等.铁矿粉接触角的测试及影响因素分析[J].钢铁研究学报,2012,24(12):57-62.ZHANG Rende,LüXuewei,HUANG Xiaobo,et al. Measurement and influencing factors on contact angle of iron ore powders[J]. Journal of iron and steel research,2012,24(12):57-62.
[3]王殿伟,王晶,许志杰,等.一种光照不均匀图像的自适应校正算法[J].系统工程与电子技术,2017,39(6):1383-1390.WANG Dianwei,WANG Jing,XU Zhijie,et al. Adaptive correction algorithm for non-uniform illumination images[J]. Systems engineering and electronics,2017,39(6):1383-1390.
[4] SHIN Y,JEONG S,LEE S. Efficient naturalness restoration for non-uniform illumination images[J]. IET image processing,2015,9(8):662-671.
[5]李宗妮,吴伟民,林志毅.一种采用改进蚁狮优化算法的图像增强方法[J].计算机应用研究,2018,35(4):1258-1260.LI Zongni,WU Weimin,LIN Zhiyi. Image enhancement method based on improved antlion optimization algorithm[J]. Application research of computers,2018,35(4):1258-1260.
[6]刘生东,刘佳琪,张雪峰,等.基于亮度自适应调整的低对比度红外图像增强算法[J].导弹与航天运载技术,2017(5):74-76.LIU Shengdong,LIU Jiaqi,ZHANG Xuefeng,et al. A low contrast infrared image enhancement algorithm based on luminance adaptive adjustment[J]. Missiles and space vehicles,2017(5):74-76.
[7]才娟.图像处理在珍珠粒度检测中的应用研究[D].桂林:桂林理工大学,2007.CAI Juan. Application research of image processing in pearl particle size detection[D]. Guilin:Guilin University of Technology,2007.
[8]王献礼,张永双,曲永新,等.基于数字图像处理技术的冰川堆积物粒度分析:以川西贡嘎山冰川堆积物为例[J].地质通报,2010,29(2):469-475.WANG Xianli, ZHANG Yongshuang, QU Yongxin, et al.Grain size analysis of glacial deposits based on digital image processing technology[J]. Geological bulletin of China,2010,29(2):469-475.
[9] ABBOOD A A,SULONG G,PETERS S U. A review of fingerprint image pre-processing[J]. Jurnal teknologi(Sciences&engineering),2014,69(2):79-84.
[10] KHAN T M,KHAN M A U,KONG Y. Fingerprint image enhancement using multi-scale DDFB based diffusion filters and modified Hong filters[J]. Optik,2014,125(16):4206-4214.
[11]周峥.图像增强算法及应用研究[D].北京:北京工业大学,2012.ZHOU Zheng. Image enhancement algorithm and its application research[D]. Beijing:Beijing University of Technology,2012.
[12]吴强,王新赛,贺明,等.一种结合小波分析与直方图的红外图像增强方法[J].应用光学,2011,32(3):464-467.WU Qiang,WANG Xinsai,HE Ming,et al. Infrared image enhancement based on wavelet analysis and histogram[J].Journal of applied optics,2011,32(3):464-467.
[13] RAJAVEL P. Image dependent brightness preserving histogram equalization[J]. IEEE transactions on consumer electronics,2010,56(2):756-763.
[14] TAN T L,SIM K S,TSO C P. Image enhancement using background brightness preserving histogram equalization[J].Electronics letters,2012,48(3):155-157.
[15]关雪梅.基于频域的图像增强技术研究[J].廊坊师范学院学报(自然科学版),2012,12(2):27-28.GUAN Xuemei. Study on image enhancement technique based on frequency domain[J]. Journal of Langfang Teachers University(Natural science edition),2012,12(2):27-28.