The Structure Design And Arithmetic Study Of Slot Image Monitoring System Of Viscose Filament Yarn

The traditional quality control of Viscose Filament yarn mainly relies on manual work, and it is too slow to reach real-time surveillance.As a new-style testing technic, machine vision testing system has the excellences of faster speed, higher precision, and non-contact testing available. It does well in conquering deficiency on manual work and improving both automatization and efficiency if it is used in the field of chemic-fiber quality control.Aiming at the testing needs of viscose filament yarn, this paper particularly researches the design of the Slot Monitoring System of Viscose Filament yarn and image processing calculating arithmetic. After learning ecumenic image processing methods, the particularity of viscose filament yarn image was analysed. According to the characteristic of viscose filament,we study the arithmetic of enhancement, segmentation, and feature extraction for the image of viscose filament yarn. Combine with Morphogical analysis,the count problem of viscose filament binary image was studied.a kind of arithmetic for solving the problem of crossover of viscose filament was put forward,which is named Connecting Area Sseparating method,and the single-pixel tracking method was studied for improving the operation speed.The experiment outcome well proved validity of these arithmetic.140 pieces of images were used to test the arithmetic,and the test results of 137 pieces of them were accurate.The error of test is controlled within 3%...