Abstract
This research uses the ring to line mapping technique to map the object image to the straight-line signals. The ‘vector magnitude invariant transform’ technique is used to transfer the object signal to an invariant vector magnitude quantity for object-identification. The ‘vector magnitude invariant transform’ technique can solve the image rotation problem. Various vertical magnitude quantity strips are generated to cope with the image-shifting problem. In this research, 105 comparisons are conducted to find the accuracy-rate of the developed algorithm. Within those 105 comparisons, 15 comparisons are conducted for self-comparison. The other 90 comparisons are conducted for comparisons between two different object images. The algorithm developed in this research can precisely classify the object image.
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Su, CL. Ring to Line Mapping and Orientation Invariant Transform for Object Recognition. J Intell Robot Syst 45, 295–305 (2006). https://doi.org/10.1007/s10846-006-9039-3
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DOI: https://doi.org/10.1007/s10846-006-9039-3