基于方向场正则化的线描画生成算法

图像风格转化在计算机视觉领域广受关注,其研究目标在于将输入图像利用计算机转化为具有某种特定艺术风格的图像.线描画作为一种古老的画种,它通过简单的线条勾勒物体的轮廓,具有简约、抽象的风格.本文提出一种基于方向场正则化的线描画生成算法,该算法由4部分构成:1)采用非局部平均滤波对输入图像进行预处理;2)计算输入图像的方向场...

Line Drawing Generation Algorithm Based on Direction Field Regularization

Image style transfer has attracted much attention in the field of computer vision.Its research goal is to transfer the input image into an image with a specific artistic style by computer.Line drawing as an ancient painting,it outlines the object through simple lines,with a simple,abstract style.This paper proposes a line drawing generation algorithm based on direction field regularization,which consists of four parts:1)Non-local means filtering is used to preprocess the input image;2)Calculate the direction field of the input image,and the Tikhonov regularization of the direction field based on the self-representation idea,in order to improve the speed of operation,the Sherman-Morrison-Woodbury formula is used to accelerate the regularization algorithm;3)Using a regular direction field as a guide,the pre-processed image is filtered by difference of Gaussian filter;4)According to the nonlinear characteristics of human visual system,the perceptual thresholding algorithm is designed to process the results of the Gaussian difference of filtering and obtain binary line drawing image.The simulation results show that the algorithm can transfer the input image into a line drawing image with smooth lines and can effectively express the main information of the input image.