吉林大学学报（信息科学版）2024，Vol.42Issue(5)：952-958,7.
基于边缘检测的数字媒体深度交互式图像分割算法
Deep Interactive Image Segmentation Algorithm for Digital Media Based on Edge Detection
摘要
Abstract
Digital media deep interactive images are affected by noise,resulting in poor edge detection performance and affecting segmentation accuracy.Therefore,a digital media deep interactive image segmentation algorithm based on edge detection is proposed.Firstly,the wavelet transform method is used to denoise images in digital media to improve the accuracy of image segmentation.Secondly,Gaussian function and low-pass filter are used to enhance the denoised image,improve the image definition,and facilitate image segmentation.Finally,based on the adaptive threshold algorithm,edge detection is performed on digital media images.There are two thresholds in the pixel collection,the upper threshold and the lower threshold.The high and low thresholds in the pixel set are calculated based on the calculation of their upper and lower thresholds,and edge connections between the two thresholds are implemented to achieve digital media image segmentation.The experimental results show that the proposed method has good denoising effect,high segmentation accuracy,and high segmentation efficiency for segmented digital media images.关键词
数字媒体/边缘检测/深度交互式图像分割算法/小波变换方法/MSRCR-HIS算法Key words
digital media/edge detection/deep interactive image segmentation algorithm/wavelet transform method/multi-scale retinex with color restoration(MSRCR-HIS)algorithm分类
信息技术与安全科学引用本文复制引用
何婧,邱欣欣,温强..基于边缘检测的数字媒体深度交互式图像分割算法[J].吉林大学学报（信息科学版）,2024,42(5):952-958,7.基金项目
2023年陕西省体育局常规课题基金资助项目(2023520) （2023520）
