This study proposes an automatic reading approach for a pointer gauge based on computer vision. Moreover, the study aims to\nhighlight the defects of the current automatic-recognition method of the pointer gauge and introduces amethod that uses a coarseto-\nfine scheme and has superior performance in the accuracy and stability of its reading identification. First, it uses the region\ngrowing method to locate the dial region and its center. Second, it uses an improved central projection method to determine the\ncircular scale region under the polar coordinate system and detect the scale marks. Then, the border detection is implemented\nin the dial image, and the Hough transform method is used to obtain the pointer direction by means of pointer contour fitting.\nFinally, the reading of the gauge is obtained by comparing the location of the pointer with the scale marks. The experimental results\ndemonstrate the effectiveness of the proposed approach. This approach is applicable for reading gauges whose scale marks are either\nevenly or unevenly distributed.
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