A Foreign Fiber Detection Method Based on an Improved Sub Pixel Edge Detection
DANG Shixu
LI Lei
ZHANG Zhihong
Abstract：To improve the accuracy of detecting foreign fibers and the time efficiency ,reduce the false detection rate ,a foreign fiber detection method based on improved sub pixel edge detection is proposed .At first the captured images from camera is preprocessed through an improved morphology operator ,acquire preliminary marginal texture detailed images on the pixel level .Then three neighborhood non‐maximum suppression method is used to remove small area cotton edge with de‐tection errors .Finally thinning detection is conducted by sub pixel edge detection method based on Zernike moment .The ex‐periment proves that this method has powerful noise resistance and denoising ability ,fast calculation and other advantages ,it can quickly and accurately identify foreign fiber in high‐speed cotton flow and meet the performance requirements in actual production .
Keywords：cotton foreign fibermorphologysub pixelnon-maximum suppressionedge detectorZernike moment
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 596-600,682 )