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تشخیص و جداسازی گره و میانگره در ساقه‌های نیشکر به صورت برخط با کمک بینایی ماشین | ||
| مهندسی بیوسیستم ایران | ||
| مقاله 8، دوره 48، شماره 2، مرداد 1396، صفحه 263-272 اصل مقاله (827.61 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijbse.2017.62468 | ||
| نویسندگان | ||
| هادی اورک1؛ سامان آبدانان مهدی زاده* 2 | ||
| 1دانشجوی کارشناسی ارشد دانشکده مهندسی زراعی و عمران روستایی، گروه مکانیک بیوسیستم، دانشگاه کشاورزی و منابع طبیعی رامین خوزستان | ||
| 2دانشگاه رامین خوزستان | ||
| چکیده | ||
| امروزه مواد خام زیستی به عنوان منبع انرژی تجدید پذیر، سوخت و غیره با توجه به بومی و در دسترس بودن مورد استفاده قرار گرفتند. میانگره حاوی گلوکان است و برای تولید الکل مناسب میباشد. حال آنکه گره با درصد لیگنین و سلولز بالا برای شرکت‌هایی که نیاز به حرارت و انرژی دارند مناسب میباشد. بنابراین جداسازی اجزای مواد زیستی ارزش این مواد را افزایش خواهد داد. بعلاوه یکنواختی مواد اولیه عملیات کنترل و پردازش را کار آمدتر و عمر تجهیزات فرآوری را بهبود خواهد بخشید. هدف از این پژوهش جداسازی گره و میانگره به صورت خودکار است. به این منظور با استفاده از پردازش تصویر و با دانستن این موضوع که افت ناگهانی در مقادیر خاکستری، در امتداد محور اصلی قطعهای از ساقه نیشکر، میتواند نشاندهنده گره بر روی آن قطعه باشد، عملیات جداسازی صورت پذیرفت. بر اساس نتایج دقت سامانه بینایی ماشین بیش از 98% به دست آمد. | ||
| کلیدواژه‌ها | ||
| جداسازی؛ گره؛ میانگره؛ پردازش تصویر | ||
| عنوان مقاله [English] | ||
| Online detection and separation of nodes and internodes of sugarcane stalks using machine vision | ||
| چکیده [English] | ||
| In recent years biomass materials has been used, as potential source of renewable energy, fuel, and etc. due to their local availability. Internodes contain glucan therefore, they are suitable for the alcohol production; while nodes with a high percentage of lignin and cellulose content are more suited for companies that need heat and energy. Thus, separation of different components of biomass would increase their value.. In addition the uniformity of raw materials not only increases the performance of controlling and processing operations but also improves the working time of the processing equipment. The aim of this study is to separate nodes and internodes, automatically. To this end, the process of images was conducted based on To this end, the process of images was conducted based on the knowing the fact that sudden drop of gray level values, along the main axis of the sugarcane stalks, could be the indication of node. Concord to obtained result,, machine vision system accuracy was more than 98%. | ||
| کلیدواژه‌ها [English] | ||
| separation, Nodes, Internodes, image processing | ||
| مراجع | ||
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