Paper
16 February 1984 Planar Ohlect Recognition By The Computer Vision Method
H Cipovic, D Milivojevic, Z Kajmakovic
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Abstract
An approach to pattern recognition applying computer vision system after the method of characteristic parameters such as perimeter, area, number of holes, maximum and minimum moment of inertia, maximum, minimum and mean radius and vector of holes is presented. All such parameters are computed by the aid of preselected characteristic contour points. The position and orientation of objects are also determined. Nearest neighbour method is applied for identification.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H Cipovic, D Milivojevic, and Z Kajmakovic "Planar Ohlect Recognition By The Computer Vision Method", Proc. SPIE 0449, Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls, (16 February 1984); https://doi.org/10.1117/12.939218
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Cameras

Computer vision technology

Computing systems

Machine vision

Object recognition

Pattern recognition

Binary data

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