摘要
为了提高相似性多色谱图像的高分辨识别能力,需要进行图像降噪处理,提出一种基于灰度边缘融合的相似性多色谱图像降噪技术。采用小波分析方法进行模糊相似性多色谱图像滤波处理,提取模糊相似性多色谱图像的边缘轮廓特征点,采用边缘轮廓检测方法进行图像的信息增强处理,结合模板匹配技术,实现对多色谱图像的相似度特征提取,以提取的相似度特征信息为信息素进行图像分块融合处理,构建图像的灰度直方图,采用灰度边缘融合方法,实现相似性多色谱图像降噪。仿真结果表明,采用该方法进行相似性多色谱图像降噪的输出信噪比较高,提高了图像的识别能力。
In order to improve the ability of multi-resolution recognition of similar multi-chromatographic images, image denoising is needed, and a similar m ulti-chromatographic image denoising technique based on gray edge fusion is proposed. Wavelet analysis method is used to filter the fuzzy similarity multi-chromatographic image. The edge contour feature points of the fuzzy similarity multi-chromatographic image are extracted. The edge contour detection method is used to enhance the information of the image, and the template matching technique is combined. The similarity feature extraction of multi-chromatographic image is realized. The similarity feature information extracted is used as pheromone to fuse the image into blocks, and the gray histogram of the image is constructed, and the gray level edge fusion method is adopted. The similarity multi-chromatographic image denoising is realized. The simulation results show that the output SNR of similar multi-chromatographic image is higher and the recognition ability of the image is improved.
作者
陈冰红
Chen Binghong(Guangzhou Huali Science and Technology Vocational College, Guangzhou 511325, China)
出处
《电子测量技术》
2019年第11期92-96,共5页
Electronic Measurement Technology
关键词
灰度边缘融合
图像降噪
多色谱图像
小波分析
模板匹配
gray edge fusion
image denoising
multi-chromatographic image
wavelet analysis
template matching
