Abstract
Image segmentation is of great importance in the fields of computer vision, face recognition, medical imaging, digital libraries, and video retrieval. This paper presents a novel method for image segmentation based on a Hybrid particle swarm algorithm, which combines the advantages of swarm intelligence and the natural selection mechanism of artificial bee colony algorithm. Experimental results show that the proposed method can reach a higher quality adequate segmentation, reduce the CPU processing time and eliminate the particles falling into local minima. © 2014 Springer International Publishing Switzerland.
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Liu, Y., Hu, K., Zhu, Y., & Chen, H. (2014). A novel method for image segmentation based on nature inspired algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8590 LNBI, pp. 390–402). Springer Verlag. https://doi.org/10.1007/978-3-319-09330-7_46
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