International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 136

Research Paper | Computer Science & Engineering | India | Volume 5 Issue 10, October 2016


An Interactive Hybrid Image Segmentation Based on PCC and Region Approach

Amandeep Kaur [51] | Rupika Rana


Abstract: Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate wrong labels to a large portion or even the entire data set. In the interactive image segmentation problem, a human specialist labels some pixels of an object while the semi-supervised algorithm labels the remaining pixels of the segment. The particle competition and cooperation model is a recent graph-based semi-supervised learning approach. It employs particles walking in a graph to classify the data items corresponding to graph nodes. Each particle group aims to dominate most unlabeled nodes, spreading their label, and preventing enemy particles invasion. Region-based image segmentation is an important preprocessing step for high-level computer vision tasks. This is used to present an approach to image partition into regions that reflect the objects in a scene. In this paper an interactive hybrid image segmentation technique to be based on particle competition- cooperation and region based similarity is proposed. This technique has combined effect of particle and region based approach. The results are checked with parameters like error rate.


Keywords: image segmentation, supervised learning, image partition, computer vision, graph


Edition: Volume 5 Issue 10, October 2016,


Pages: 952 - 956

An Interactive Hybrid Image Segmentation Based on PCC and Region Approach


How to Cite this Article?

Amandeep Kaur, Rupika Rana, "An Interactive Hybrid Image Segmentation Based on PCC and Region Approach", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=25081602, Volume 5 Issue 10, October 2016, 952 - 956, #ijsrnet

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