Edge Detection Based On Fractional Order And Fractal Theory

Medical image generally refers to clearly see the patient's internal local organ lesions by certain design,equipment instrument to get pictures,such as CT,b super pictures,continuously improving the picture quality and the quality of image edge determines the subsequent complexity of image processing,makes the image edge detection technology plays an important role in image processing.In this paper,the frequency domain characteristics of fractional differential operators are analyzed.By analyzing the principle and characteristics of Tanis operator,it is extended to it.For the method of edge detection,the paper is based on the effect of fractional differential enhanced texture detail,and the two fractional differential edge detection method is adopted.One is the difference method,and the other is fractional differential and integral order.Image fractal dimension and entropy is a statistical values of image features,in view of fractional differential mask mode parameter selection method,this paper presents based on fractal theory and based on the maximum entropy selection method for optimal order fractional differential.Compared to the traditional manual selection is fast accurate and fast.The simulation results show that the fractional differential operator can enhance the image edge information,and the image edge can be improved obviously,and the effect is obvious.And,using the two methods of fractional order differential,can save time and improve efficiency.Fractal theory is applied to the image edge detection method,which is an effective method for the essential feature of the image.