Aiming at solving the problems of complex image background and difficulties in the later image segmentation, an image segmentation algorithm based on the chaotic particle swarm algorithm and fuzzy clustering is proposed. First, the color space is converted from the RGB color space into the HIS color space. Then, a hybrid algorithm consisted of chaotic particle swarm optimization and fuzzy clustering is introduced. Each color component is processed by the algorithm, and the corresponding partition graph is obtained. Finally, the color space is converted into the RGB color space to achieve the segmentation effect. Experimental results show that the new algorithm has higher accuracy to segment the image and has good robustness to noises.

中文翻译：

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基于混沌粒子群优化和FCM的彩色病斑图像分割算法

针对图像背景复杂、后期图像分割困难的问题，提出了一种基于混沌粒子群算法和模糊聚类的图像分割算法。首先将色彩空间从RGB色彩空间转换为HIS色彩空间。然后，介绍了一种由混沌粒子群优化和模糊聚类组成的混合算法。算法对每个颜色分量进行处理，得到对应的分区图。最后将色彩空间转换为RGB色彩空间，达到分割效果。实验结果表明，新算法对图像的分割精度更高，对噪声具有较好的鲁棒性。