Evaluating the Effectiveness of Panoptic Segmentation Through Comparative Analysis
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Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Image segmentation method is extensively used in the fields of computer vision, machine learning, and artificial intelligence. The task of segmentation is to distinguish objects in images either by their boundaries or as entire objects from the entire image. Image segmentation methods are implemented as instance, semantic, and panoptic segmentation. In this article, the panoptic segmentation method, seen as an advanced stage of instance and semantic segmentation, has been applied to three datasets and compared with the instance segmentation method. Experimental results are presented visually. Numerical results have been analyzed with the Panoptic Quality (PQ) and Semantic Quality (SQ) metrics. It has been observed that the segmentation outcome was best for the CityScapes dataset for panoptic segmentation.
Açıklama
Anahtar Kelimeler
Image processing, image segmentation, instance segmentation, panoptic segmentation
Kaynak
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
13
Sayı
3
