Design And Analysis Of The Algorithm Used To Detect The Flaw In The Optical Cable Surface Flaw Detection System

Optical cable plays an important role in the modern communications industry.It carries a large amount of information and high reliability requirements.The quality of optical cable surface has an important influence on the commercial value and direct use of optical cable products.More and more enterprises begin to enhance the detection of surface quality of optical cable.There are many limitations in traditional manual detection.With the rapid development of intelligent detection technology based on machine vision,machine operation gradually takes the place of manual operation.As a new development technology,machine vision plays a very important role in the field of intelligent detection.It has become an important trend in the development of modern industry.In this thesis,an array CCD color camera is used to obtain the optical cable image and detect the flaws.The traditional color image segmentation method,that is,using gray image segmentation algorithm on the three components of color image,does not make full use of the color information of the image.With the development of color image segmentation theory and the improvement of computer processing ability,it has become a trend to use clustering algorithm to process highdimensional color image data.The clustering algorithm can map the information contained in the color image pixels to the high-dimensional feature space,and cluster the high-dimensional feature space to make the segmentation result more reasonable.Fuzzy theory has a good description of the uncertainty of the image.Therefore,this paper mainly studies how to use fuzzy C-means clustering algorithm to divide the optical cable surface defects,and analyzes the advantages and disadvantages of the algorithm.Aiming at the algorithm's dependence on the initialization of cluster centers and the sensitivity to noise,this algorithm is proposed.The improved fuzzy C-means clustering algorithm is applied to the optical cable surface flaw detection system.The experimental results show that the proposed algorithm has high stability and low sensitivity to noise,and has an ideal segmentation effect on optical cable surface flaws.