کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5025973 | 1470596 | 2017 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A robust fruit image segmentation algorithm against varying illumination for vision system of fruit harvesting robot
ترجمه فارسی عنوان
یک الگوریتم تقسیم بندی تصویر میوه قوی در برابر روشنایی متفاوت برای سیستم دید از ربات برداشت میوه
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
چکیده انگلیسی
Vision system is the crucial component of fruit harvesting robot for recognising fruit, however, which is seriously affected by varying illumination when the robot works in real natural environment. A robust fruit segmentation algorithm against varying illumination for vision system was proposed with the aim of effectively extracting fruit object in the natural environment. The method involved the application of improved wavelet transform to fruit image to normalise illumination of object surface. Then Retinex-based image enhancement algorithm was used to highlight fruit object of illumination normalised image. Finally fruit image was segmented by implementing K-means clustering. Three kinds of fruit images of different colour under sunny and cloudy days were segment using the proposed method respectively and the experimental results showed that the proposed algorithm could be robust against the influence of varying illumination and precisely segment different colour fruits.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 131, February 2017, Pages 626-631
Journal: Optik - International Journal for Light and Electron Optics - Volume 131, February 2017, Pages 626-631
نویسندگان
Chenglin Wang, Yunchao Tang, Xiangjun Zou, Weiming SiTu, Wenxian Feng,