Title :
Colour vision for industrial applications
Author :
Mital, D.P. ; Leng, Goh Wee ; Khwang, Teoh Eam
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
A vision system for color object recognition is presented. The proposed system is low in cost and sufficiently fast and reliable for simple industrial applications. The system comprises a fiber-optic illumination system, lenses, camera, frame grabber and IBM PC/AT microcomputer with a color monitor. The recognition algorithms are based on RGB and HSI modes. The approach and development of these algorithms are elaborated. The accuracy, reliability, and speed of recognition has been very good. The recognition is based on closest path, thresholding, and mathematical modeling algorithms
Keywords :
computer vision; computerised pattern recognition; factory automation; HSI modes; RGB mode; TV camera; closest path; color object recognition; colour saturation; computer vision; computerised pattern recognition; fiber-optic illumination system; frame grabber; hue; lenses; mathematical modeling; monitor; thresholding; Cameras; Computer vision; Costs; Fiber optics; Hardware; Lenses; Lighting; Machine vision; Microcomputers; Robot vision systems;
Conference_Titel :
Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-87942-600-4
DOI :
10.1109/IECON.1990.149200
