基于3次B样条小波变换的改进自适应阈值边缘检测算法
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引用本文:王 煜,谢 政,朱淳钊,夏建高.基于3次B样条小波变换的改进自适应阈值边缘检测算法[J].计算技术与自动化,2021,(1):101-103
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作者单位
王 煜,谢 政,朱淳钊,夏建高 (湖北工程职业学院 建筑与环境艺术学院湖北 黄石 435005) 
中文摘要:针对含噪声图像边缘提取问题,提出了一种改进NormalShrink自适应阈值去噪算法。该算法首先通过小波变换和局部模极大值法提取出可能包含图像边缘特征的小波系数,利用边缘像素之间特殊的空间关系以及噪声在各级小波分解尺度下的不同效应,构建适合各个尺度级的改进NormalShrink自适应阈值,并依此对提取出的小波系数进行筛选。实验结果表明,与改进的Candy算子和传统的NormalShrink自适应阈值相比,本方法提取出的图像边缘较为完整清晰,峰值信噪比提升约6 db。
中文关键词:边缘提取  小波变换  自适应阈值  峰值信噪比
 
An Improved Adaptive Threshold Edge Detection Algorithm Based on Cubic B-spline Wavelet Transform
Abstract:In order to solve the problem of noisy image edge detection, an improved NormalShrink adaptive wavelet threshold is put forward on the foundation of combining edge detection and denoising. According to the different characteristics of noise at different wavelet scales and the special spatial relationship between the edge pixels, the algorithm first extract wavelet coefficients which may contain image edge feature by using wavelet transform and local maximum mode, and then construct an improved NormalShrink adaptive threshold of each scale level which is used to select the extracted wavelet coefficients. Experimental results show that this method can keep image's edges clear and increase PSNR about 6 db.
keywords:edge detection  wavelet transform  adaptive threshold  PSNR
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