چکیده مقاله
Nowadays classification of stones in factories is done by human unlike other operations that are automatic , therefore using automatic methods for classification is required Since so far in previous studies such research have not been carried out on travertine stone, so from this side the study is a novel research that can solve significantly problemsof classification in travertine factories In this paper, a set of travertine stones including 120 images from four groupswas prepared The wavelet transform as a feature extraction method is used and maximum likelihood ML classifier is applied The simulation results show that the mentioned methods has good performance in travertine stone industry
کلیدواژهها
نویسندگان
Mohammad Shams Esfand Abadi
Faculty of Electrical Engineering of Shahid Rajaee Teacher Training University, Tehran, Iran
Navid Banihashemi
Faculty of Electrical Engineering of Shahid Rajaee Teacher Training University, Tehran, Iran
شیوه ارجاع
Shams Esfand Abadi, Mohammad and Banihashemi, Navid,1394,Classification of Travertine Stones Using Wavelet Transform,International Conference on New Research Findings in Electrical Engineering and Computer Science,Tehran
ارائهشده در
مجموعه مقالات سومین کنفرانس ملی محاسبات نرم علوم مهندسی در صنعت و جامعه1 اسفند 1402 · ایرانشهر