A minimum cross-entropy multi-thresholds segmentation algorithm based on improved WOA

Minimum cross-entropy is widely used in image segmentation for its effectiveness. However, when the algorithm applied to multi-threshold segmentation, there are some problems such as large amount of calculation, time-consuming and poor practicability due exhaustive search optimal threshold. Therefore, this paper, a hybrid whale optimization (IWOA) which incorporates (WOA) invasive weed (IWO) proposed minimum fitness function select It established that IWOA able threshold more accuracy segment high quality than other algorithms.