کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6458717 1361745 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Calculation method of surface shape feature of rice seed based on point cloud
ترجمه فارسی عنوان
روش محاسبه ویژگی شکل سطح برنج دانه بر اساس ابر نقطه
کلمات کلیدی
دانه برنج، ابر نقطه، ویژگی های سه بعدی، هندسه،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


- 3D point cloud of the rice seed was obtained from a laser scanning system.
- An improved method based on rice seed point clouds is proposed to calculate the surface shape feature.
- The volume and surface area of the rice seed were successfully obtained by the 3D point cloud.
- The accuracy of the calculation method is higher than 98%.
- The method is applicable for measurement of other irregular object.

Surface shape feature is a very important index of seed classification. A method to calculate the three dimensional characteristics of the rice seed based on its surface point cloud was investigated. First of all, a laser scanner was used to acquire the three dimensional point cloud (TDPC) of a rice seed, then based on the principal component analysis (PCA) the TDPC were translated and rotated to normalize coordinate system. The length, width and thickness of rice seed, and furthermore its elongation, flakiness, shape factor and sphericity could be calculated by the oriented bounding box (OBB). We can generate mesh surface of the rice seed surface point cloud by the greedy triangulation algorithm, then calculate the surface area of the rice seed. On the basis of the slice method, an improved method based on rice seed TDPC was proposed to calculate the volume of rice seed. Compare the calculated length, width thickness and volume of different rice seeds with manual measurement. It is found that the average error is less than 1.5%. A ball whose radius is known instead of a rice seed to be used to verify the validity of the surface area by comparing the calculated value with their theoretical value, the mean error is 0.55%. The results showed the calculation method could acquire the surface shape feature of rice seed based on the TDPC and it is valid enough for application, this method is applicable for measurement of other irregular object as well.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 142, Part A, November 2017, Pages 416-423
نویسندگان
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