The Diaphragm Image Edge Detection Algorithms

With the continuous development of image processing technology,and constantly improve the level of computer technology,edge detection technique has been widely used in various fields,and also to obtain the very good application in acoustic field,electroacoustic device is an important branch of research of electroacoustics,research the sound film image is an important performance index test speaker work,there is currently no effective sound film image detection method,this topic for the sound film images,combined the technology of image processing and edge detection,Effective recognition and detection of the image to obtain accurate edge information of the film image,in order to better study the sound film concentricity and other parameters affecting its performance indicators.Ensure speaker quality stability.Several common sound film based on the image as the research object,with the basic algorithm of edge detection,Gabor filter principle and multi-scale as theoretical basis,mainly in the following aspects of the study:(1)The superiority of Gabor filter in edge feature extraction is analyzed.(2)Introduce the basic principle of Gabor filter,analyses the Gabor transform and in the actual application.(2)Compared with single scale,multi-scale filter can better extract important edge information of image.(3)The existing internal and external circle contour extraction algorithm and the lifting wavelet transform algorithm are analyzed and simulated in detail.(4)A multi-scale Gabor filter edge detection algorithm is proposed,and the basic principle and flow of the algorithm are discussed.The algorithm is simulated by MATLAB,and the edge contour of the sound film image is well extracted.Finally,compare the detection algorithm with the classical multiscale Gabor filter edge algorithm to evaluate the edge quality,and calculate the detected sound film image concentricity,which verifies the validity and superiority of this algorithm.Figure 17,table 6,the reference of the 51.