Colour Based Image Processing Method for Recognizing Ribbed Smoked Sheet Grade

International Conference on Information Technology and Digital Applications

计算机科学

Fibriani, Ike^1 ; Sumardi^1 ; Satriya, Alfredo Bayu^1 ; Utomo, Satryo Budi^1

Department of Electrical Engineering, University of Jember, Jalan Kalimantan 37 Kampus Tegalboto, Jember, Indonesia^1

关键词: Gray-scale images;    Illumination distribution;    Image processing;    methods;    Image processing technique;    Ribbed smoked sheets;    Sorting process;    Threshold-value;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/185/1/012025/pdf
DOI  :  10.1088/1757-899X/185/1/012025

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.