New Edge Detection Model Based on Fractional Differential and Sobel Operator
The current edge detection algorithms are sensitive to noise;they may not get ideal effect on image edge detection and result in unclear image edges.To overcome these shortages,a new edge detection model is proposed,which is based on the theory of fractional differential and combines with the image edge detection method of Sobel operator.Both theoretical researches and simulation results show that compared with existing methods,the new model is able to extract the characteristics of image edge better,and has better inhibitory effect on image noise.Especially,for images with rich texture details,it is better than existing integer order differential methods since it can detect more texture information.Therefore,it is an effective edge detection method.
edge detection fractional differentia Sobel operator texture details
Jiang Wei Huang Darong
School of Science Chongqing Jiao Tong University,Chongqing,China School of Information Science and Engineering Chongqing Jiao Tong University Chongqing,China
国际会议
太原
英文
409-412
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）