کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1711627 1013089 2011 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Weed recognition using image blur information
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Weed recognition using image blur information
چکیده انگلیسی

Image motion blur and defocus blur often occur when there is a relative motion between the imaging camera and the detected object. These two blurs will degrade the image quality and will also decrease the subsequent pattern recognition accuracy. In this paper, we propose a robust weed recognition scheme using the low quality colour weed images with these image blurs. The proposed scheme consists of three steps. First, image matte is used to segment the soil and the plant. Second, the image-moment-based blur invariant features are calculated. Third, weed recognition is performed by using the computed Euclidean distance based on the moment invariants. We have experimentally proved that the effective use of image blur information improves the recognition accuracy of camera-captured weeds. The allowed maximum translation speed of the moving camera is also discussed theoretically and experimentally.


► This paper provides a framework for weed recognition with image blur information.
► Weed recognition is performed by using blur invariant moment information.
► The maximum translation speed of moving camera is also discussed in detail.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems Engineering - Volume 110, Issue 2, October 2011, Pages 198–205
نویسندگان
, ,