Title :
Study on evaluating seam pucker of clothing based on binocular CCD camera
Author :
Li Yanmei ; Jiang Zhenzhen ; Qiu Xiaokun
Author_Institution :
Fashion Coll., Shanghai Univ. of Eng. Sci., Shanghai, China
Abstract :
Three-dimensional information of seam pucker on sewed sample can be obtained with binocular CCD camera, which avoids the disturbance of color and pattern to seam pucker information. Then the data along Z axis are analyzed in order to distract characteristic parameters that can reflect different seam pucker. Based on these characteristic parameters, Probabilistic neural network model is constructed to objectively and quantificationaUy evaluate the seam pucker of clothing. By tested, this model is available, which can avoid the fuzziness of subjective evaluation.
Keywords :
CCD image sensors; clothing industry; fuzzy set theory; neural nets; probability; production engineering computing; binocular CCD camera; distract characteristic parameters; probabilistic neural network model; seam pucker evaluation; seam pucker information; sewed sample; subjective evaluation; three dimensional information; binocular CCD camera; characteristic parameters; objective evaluation; seam pucker;
Conference_Titel :
Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0894-6
