A hybrid flower pollination algorithm based modified randomized location for multi-threshold medical image segmentation

作者：Wang, Rui; Zhou, Yongquan^*; Zhao, Chengyan; Wu, Haizhou

来源：Bio-medical Materials and Engineering, 2015, 26(s1): S1345-S1351.

DOI：10.3233/BME-151432

• Flower pollination algorithm
• randomized location
• Otsu method
• multi-threshold image segmentation
• medical image segmentation

Multi-threshold image segmentation is a powerful image processing technique that is used for the preprocessing of pattern recognition and computer vision. However, traditional multilevel thresholding methods are computationally expensive because they involve exhaustively searching the optimal thresholds to optimize the objective functions. To overcome this drawback, this paper proposes a flower pollination algorithm with a randomized location modification. The proposed algorithm is used to find optimal threshold values for maximizing Otsu's objective functions with regard to eight medical grayscale images. When benchmarked against other state-of-the-art evolutionary algorithms, the new algorithm proves itself to be robust and effective through numerical experimental results including Otsu's objective values and standard deviations.

• 出版日期2015
• 单位广西民族大学