Image Contour Extraction Algorithm Based On Improved FLBP And Gabor Fusion

With the development of science and technology,the image contour extraction technology has also been greatly developed.Many scholars and institutions have done a lot of research on this technology.At this stage,with the vigorous development of computer technology and the improvement of hardware performance,this technology has also been greatly developed,and it has been realized in many fields,such as the clear technology of license plate number,and the medical CT scanning technology.These technologies The use of,shows the practicability of the image contour extraction technology.Among them,the contour extraction accuracy of the image is the most important,which directly affects the accuracy of the algorithm recognition.This paper conducts corresponding research on how to obtain more accurate image edge contour features,analyzes and innovates on the basis of existing algorithms,and proposes an improved fuzzy local binary algorithm based on Gabor wavelet The image contour extraction algorithm of the feature extraction algorithm,and the performance of the algorithm is tested through corresponding experiments.The traditional LBP algorithm is implemented by acquiring feature operators in the local area of the image.It has the advantage of simpler calculation and strong texture description.Although this method of extracting image features can easily obtain the texture features of the image,if the image has uneven illumination or rotation,and the external error is serious,there will be a certain error in the acquired image features.Light,etc.are not very adaptable.Later,it is proposed to add the concept of fuzzy mathematics to the LBP operator,which can improve the problem of LBP's incomplete extraction of image local features.At the same time,based on the algorithm in this paper,it is proposed to add the degree of membership in fuzzy mathematics.Combined with the average value,an improved FLBP algorithm appears.In order to better solve the problem that the improved FLBP algorithm is easy to lose the image features,this paper also introduces the Gabor wavelet algorithm.Gabor wavelet can obtain image multi-scale and multi-directional data features according to user needs,so that the obtained data can better describe image feature data,improve the robustness of the algorithm to posture,and effectively improve the algorithm in this paper for image contour extraction.Recognition rate,and to a certain extent,it can filter the current situation of excessive image features caused by Gabor wavelet,which will not reduce the accuracy of image contour recognition while reducing the computational complexity in the experimental process.Corresponding experiments on the fusion algorithm have obtained relevant results:the algorithm proposed in this paper can indeed effectively improve the recognition accuracy of the algorithm,and address the problems of illumination rotation and noise in the image,and it can also strengthen the local contours of the image that cannot be described clearly.The current situation,the algorithm in this paper can reduce the running time of the algorithm,which proves the reliability of the algorithm.Figure[33]table[5]reference[79]...