基于特征提取的美术图像边缘模糊点检测方法

Edge fuzzy point detection method of art image based on feature extraction

由于已有方法未能对美术图像进行滤波处理,导致边缘模糊点检测结果不准确,计算时间较长。提出一种基于特征提取的美术图像边缘模糊点检测方法,通过粗集理论对噪声进行初步监测,引入空间距离函数对DDF(干扰解耦滤波器)滤波算法进行加权改进,对图像进行滤波处理。对美术图像Contourl进行变换分解,使用数学形态学算子和变换系数进行图像增强。将Harris角点检测算法和伪角点模板匹配检测法进行结合,实现美术图像边缘模糊点检测。仿真实验结果表明,所提方法可以获取高精度的检测结果,能够有效减少计算时间。

Since the existing methods fail to filter the art image,the detection results of edge fuzzy points are inaccurate and the calculation time is long.An edge fuzzy point detection method of art image based on feature extraction is proposed.The noise is preliminarily monitored through rough set theory.The spatial distance function is introduced to improve the DDF(Disturbance Decoupled Filter)filtering algorithm,and the image is filtered.The art image is transformed and decomposed by Contourl,and the image is enhanced by mathematical morphology operator and transformation coefficient.Harris corner detection algorithm and pseudo corner template matching detection method are combined to realize the edge fuzzy point detection of art image.Simulation results show that the proposed method can obtain high-precision detection results and effectively reduce the calculation time.