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پایش و مدل سازی چروکیدگی ورقه های سیب هنگام خشک شدن در هوای گرم با استفاده از ویژگیهای بافت تصاویر پس پراکنش لیزر | ||
| تحقیقات سامانه‌ها و مکانیزاسیون کشاورزی | ||
| مقاله 11، دوره 18، شماره 68، شهریور 1396، صفحه 133-150 اصل مقاله (1014.09 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/erams.2017.107124.1121 | ||
| نویسندگان | ||
| منصوره مظفری* 1؛ اصغر محمودی2؛ بهاره جمشیدی3 | ||
| 1دانشجوی دکتری گروه مهندسی بیوسیستم دانشکده کشاورزی دانشگاه تبریز و عضوهیئت علمی مرکز تحقیقات کشاورزی و منابع طبیعی استان آذربایجان‌شرقی | ||
| 2دانشیار گروه مهندسی بیوسیستم دانشکده کشاورزی دانشگاه تبریز | ||
| 3استادیار بخش تحقیقات ماشین‌های کشاورزی مؤسسه فنی و مهندسی کشاورزی، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران | ||
| چکیده | ||
در این مقاله، امکان استفاده از ویژگیهای بافت تصویرهای پسپراکنش نور لیزر در پایش و مدلسازی چروکیدگی بههنگام خشک شدن ورقههای سیب با هوای گرم در سه طول موج (650، 780 و 880 نانومتر) در محدودۀ مرئی و مادون قرمز نزدیک بررسی شد. ویژگیهای مرتبط با چهار روش آنالیز بافت تصویر، شامل آمارههای درجه اول هیستوگرام، ماتریس هموقوعی، ماتریس طول گام سطح خاکستری، و تبدیل موجک استخراج و بهصورت جداگانه برای هر روش و در ترکیب با هم در تدوین مدلهای واسنجی بهکار گرفته شد. مدل رگرسیون چندمتغیرۀ خطی گامبهگام برای مدلسازی و تعیین ویژگیهاییکه مؤثرترین نقش را در تدوین مدل داشتند، بهکار رفت. نتایج بهدست آمده قابلیت ویژگیهای مستخرج از بافت تصویرهای پسپراکنش نور لیزر را در ناحیۀ طولموجهای مادونقرمز نزدیک در پیشبینی چروکیدگی محصول نشان میدهد، بهطوریکه استفاده از ویژگی همگنی ماتریس هموقوعی در راستای 90 درجه در 880 نانومتر (با 95/0R2p= و 15/5RMSEp=) و ترکیب ویژگیهای مستخرج از چهار روش آنالیز بافت در 780 نانومتر (با 94/0 R2p = و 61/5RMSEp=) توانستند مدلهایی با دقت بالا حاصل کنند. این پژوهش نشان میدهد که در فرآیند خشککردن با هوایگرم، تصویربرداری پسپراکنش نور لیزر میتواند بهعنوان روشی غیرمخرب، سریع، و ارزان در پیشبینی چروکیدگی بهکار گرفته شود. | ||
| کلیدواژه‌ها | ||
| آنالیز بافت تصویر؛ تصویربرداری پس‌پراکنش‌لیزر؛ چروکیدگی؛ خشککردن | ||
| عنوان مقاله [English] | ||
| Monitoring and modeling of apple slices shrinkage during drying in hot air using texture features of laser backscattering images | ||
| نویسندگان [English] | ||
| Mansoureh Mozaffari1؛ Asghar Mahmoudi2؛ Bahareh Jamshidi3 | ||
| 1PHD student of Department of Biosystems Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran. | ||
| 2Associate professor of Department of Biosystems Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran | ||
| 3Assistant professor of Agricultural Engineering Research Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran. | ||
| چکیده [English] | ||
| The present paper investigated the feasibility of using texture-based features of laser backscattering images in monitoring and modeling of apple slices shrinkage during hot air drying. The backscattering imaging was performed at three wavelengths (650, 780 and 880 nm) in the visible and near-infrared regions. The acquired images were subjected to four texture analysis methods including first-order statistics of image histogram, co-occurrence matrix, gray level run-length matrix and wavelet transform. Stepwise multiple linear regressions was used to develop models and determine the most effective features by using individual types of feature sets and their combinations as inputs of calibration models. The results showed the capability of the texture features extracted from the laser backscattering images in the near-infrared wavelength range for prediction of apple slices shrinkage; by using homogeneity feature of co-occurrence matrix-90˚ at 880 nm (with Rp2=0.95, RMSEp=5.15) and fusion of the four feature sets extracted from different texture analysis methods at 780nm (with Rp2=0.94, RMSEp=5.61), could make models with high accuracy. This study showed that Laser backscattering imaging technique can be used as a non-destructive, rapid and low-cost method for prediction of the shrinkage in the process of hot air drying of apple slices. | ||
| کلیدواژه‌ها [English] | ||
| Hot Air Drying, Image Texture Analysis, Laser Backscattering Imaging, shrinkage | ||
| مراجع | ||
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