A Linear Fitting Density Peaks Clustering Algorithm for Image Segmentation

作者：Zhou, You; Zhao, Tiantian; Wang, Yizhang; Wu, Jianan; Zhou, Xu^*

来源：Tehnicki Vjesnik, 2018, 25(3): 808-812.

DOI：10.17559/TV-20171125161944

• clustering
• density peaks
• image segmentation
• linear fitting

Clustering by fast search and finding of density peaks algorithm (DPC) is a recently developed method and can obtain promising results. However, DPC needs users to determine the number of clusters in advance, thus the clustering results are unstable and deeply influenced by the number of clusters. To address this issue, we proposed a novel algorithm, namely LDPC (Linear fitting Density Peaks Clustering algorithm). LDPC uses a novel linear fitting method to choose cluster centres automatically. In the experiments, we use public datasets to access the effectiveness of LDPC. Especially, we applied LDPC to image segmentation tasks. The experimental results show that LDPC can obtain competitive results compared with other clustering algorithms.

• 出版日期2018-6
• 单位吉林大学