Colour Based Image Processing Method for Recognizing Ribbed Smoked Sheet Grade

dc.contributor.author	Fibriani, Ike
dc.contributor.author	Sumardi, Sumardi
dc.contributor.author	Satriya, Alfredo Bayu
dc.contributor.author	Utomo, Satryo Budi
dc.date.accessioned	2018-01-23T09:08:45Z
dc.date.available	2018-01-23T09:08:45Z
dc.date.issued	2018-01-23
dc.identifier.isbn	978-151-0838-41-3
dc.identifier.uri	http://repository.unej.ac.id/handle/123456789/84050
dc.description	Proceedings The International Conference on Information Technology and Digital Applications	en_US
dc.description.abstract	This research proposes a colour based image processing technique to recognize the Ribbed Smoked Sheet (RSS) grade so that the RSS sorting process can be faster and more accurate than the traditional one. The RSS sheet image captured by the camera is transformed into grayscale image to simplify the recognition of rust and mould on the RSS sheet. Then the grayscale image is transformed into binary image using threshold value which is obtained from the RSS 1 reference colour. The grade recognition is determined by counting the white pixel percentage. The result shows that the system has 88% of accuracy. Most faults exist on RSS 2 recognition. This is due to the illumination distribution which is not equal over the RSS image.	en_US
dc.language.iso	en	en_US
dc.subject	Colour Based Image	en_US
dc.subject	Processing Method	en_US
dc.subject	Recognizing Ribbed Smoked Sheet Grade	en_US
dc.title	Colour Based Image Processing Method for Recognizing Ribbed Smoked Sheet Grade	en_US
dc.type	Prosiding	en_US