کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
84832 | 158906 | 2011 | 12 صفحه PDF | دانلود رایگان |
An intelligent system for colour inspection of biscuit products is proposed. In this system, the state-of-the-art classification techniques based on Support Vector Machines (SVM) and Wilk's λ analysis were used to classify biscuits into one of four distinct groups: under-baked, moderately baked, over-baked, and substantially over-baked. The accuracy of the system was compared with standard discriminant analysis using both direct and multi-step classifications. It was discovered that the radial basis SVM after Wilk's λ was more precise in classification compared to other classifiers. Real-time implementation was achieved by means of multi-core processor with advanced multiple-buffering and multithreading algorithms. The system resulted in correct classification rate of more than 96% for stationary and moving biscuits at 9 m/min. It was discovered that touching and non-touching biscuits did not significantly interfere with accurate assessment of baking. However, image processing of touching biscuits was considerably slower compared to non-touching biscuits, averaging at 36.3 ms and 9.0 ms, respectively. The decrease in speed was due to the complexity of the watershed-based algorithm used to segment touching biscuits. This image computing platform can potentially support the requirements of the high-volume biscuit production.
Research highlights▶ SVM based algorithm with linear and non-linear kernels has been developed for real-time inspection of biscuits on moving conveyor belt. ▶ Image processing of the touching and overlapping objects is achieved by means of Otsu's algorithm and watershed transformation. ▶ Parallelism is achieved my means of multi-threading algorithm and multi-core processors. ▶ The correct classification rate of the system is more than 96% for stationary and moving biscuits at 9 m/min.
Journal: Computers and Electronics in Agriculture - Volume 75, Issue 1, January 2011, Pages 147–158