Dental Images’ Segmentation Using Threshold Connected Component Analysis

Table 1

Overall comparison of segmentation methods.

Methods	Types of images	Accuracy (%)
Fuzzy C-means clustering algorithm [9]	Breast tumours’ images	97.4
Local singularity analysis [27]	Periapical images	89.59
Bezier function optimization [26]	Panoramic images	91.0
Intelligent level set [24]	Periapical images	90.0
Neck segmentation using CNNs [23]	CT images	89.5
Proposed segmentation method	Bitewing images	93.0

The statement in bold highlights the contribution made in this paper. It is meant to distinguish the current work from related works in the literature.