MULTI-CLASS REGION MERGING FOR INTERACTIVE IMAGE SEGMENTATION USING HIERARCHICAL CLUSTERING ANALYSIS

  • Khairiyyah Nur Aisyah Institut Teknologi Sepuluh Nopember
  • Syadza Anggraini Institut Teknologi Sepuluh Nopember
  • Novi Nur Putriwijaya Institut Teknologi Sepuluh Nopember
  • Agus Zainal Arifin Institut Teknologi Sepuluh Nopember
  • Rarasmaya Indraswari Institut Teknologi Sepuluh Nopember
  • Dini Adni Navastara Institut Teknologi Sepuluh Nopember
Keywords: Interactive Segmentation, Multi-class Region Merging, Hierarchical Clustering

Abstract

In interactive image segmentation, distance calculation between regions and sequence of region merging is being an important thing that needs to be considered to obtain accurate segmentation results. Region merging without regard to label in Hierarchical Clustering Analysis causes the possibility of two different labels merged into a cluster and resulting errors in segmentation. This study proposes a new multi-class region merging strategy for interactive image segmentation using the Hierarchical Clustering Analysis. Marking is given to regions that are considered as objects and background, which are then referred as classes. A different label for each class is given to prevent any classes with different label merged into a cluster. Based on experiment, the mean value of ME and RAE for the results of segmentation using the proposed method are 0.035 and 0.083, respectively. Experimental results show that giving the label on each class is effectively used in multi-class region merging.
Published
2019-07-08
How to Cite
Aisyah, K. N., Anggraini, S., Putriwijaya, N. N., Arifin, A. Z., Indraswari, R., & Navastara, D. A. (2019). MULTI-CLASS REGION MERGING FOR INTERACTIVE IMAGE SEGMENTATION USING HIERARCHICAL CLUSTERING ANALYSIS. Jurnal Ilmu Komputer Dan Informasi, 12(2), 113-121. https://doi.org/10.21609/jiki.v12i2.757