Title :
Foreign matter identification in Piper Nigrum samples
Author :
Iskandar, D. N F Awang ; Ling, Ng Jo ; Fauzi, Ahmad Hadinata
Author_Institution :
Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
Abstract :
The process of grading Malaysia Pepper berries are still semi-automatic. One of the grading criteria is based on the extraneous and foreign matters that exist in pepper berries samples. Therefore, in this paper we propose image processing techniques to identify the foreign matter. We analyse the number of foreign matters in the image and locate them using the xPepper Identification System. Our finding shows that image processing techniques eases the manual approach as it saves time and cost of human labour.
Keywords :
agricultural products; automatic optical inspection; computer vision; image processing; production engineering computing; Malaysia pepper berries; Piper Nigrum; foreign matter identification; grading process; image processing techniques; Image color analysis; Image segmentation; Object recognition; Pixel; Shape; Training; agricultural sciences; computer vision; image processing and analysis;
Conference_Titel :
Signal Processing and its Applications (CSPA), 2011 IEEE 7th International Colloquium on
Conference_Location :
Penang
Print_ISBN :
978-1-61284-414-5
DOI :
10.1109/CSPA.2011.5759857