Study on Automatic Threshold Selection Algorithm of Sensor Images

The threshold selection of sensor images has great influences on the detection accuracy of the mass center, while which will directly affect the recovery of the wave-front detection. Through introducing several principles and algorithms of the threshold segmentation, based on the detection accuracy of the mass center with relatively multiple base points of images, it has been demonstrated that for lattice images with large contrast, there is no much difference in the standard deviations of solving mass centers by four algorithms, however, the OTSU Algorithm based on gray extension obtain the smallest deviation, therefore, for bitmap images, regarding to the binary threshold selection, in this paper, it adopts the OTSU Algorithm based on gray extension, and then solves the center of mass through conducting the binarization. In the end of this paper, it points out the OTSU Algorithm based on gray extension is a better method for the threshold segmentation. (C) 2012 Published by Elsevier B.V. Selection and/or peer-review under responsibility of Garry Lee