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Proceedings of the 2015 International Conference on Electrical, Electronics and Mechatronics
This paper puts forward to a novel intelligent methods to reading point instrument to replace human reading. The images of pointer instrument are captured. Firstly a segmentation algorithm based on unsupervised learning is presented to segment the image for locating the scales and pointer. This algorithm combines the fuzzy C-means method with fuzzy support vector machines, and can subdivide the image into the objects and background efficiently. Secondly the according to the characteristic ofdoi:10.2991/iceem-15.2015.31 fatcat:hybxdoyle5fwnee3wxvda5r7ae