Threshold Selection Using Competitive Algorithm
Jinguo He · 2010
Automatic threshold selection is significant in image segmentation, understanding and recognition. Finding global minimum of the histogram is difficult because many algorithms fail to end in a local minimum. A new competitive algorithm is proposed to automatically select threshold based on histogram analysis. Given a random initial value, the new algorithm begins to renew the value towards global minimum without stopping at local minimum by a competitive scheme. With the new algorithm, the briefness, low computation, and stability characteristic of threshold segmentation is reserved.