… existing clustering based image segmentation methods. Two main clustering methods have
been surveyed, namely hierarchical and partitional based clustering methods. As partitional …

… on the content-based image segmentation algorithms. Based on extensive … image
segmentation algorithms into three types: graph theory based method, pixel clustering based method …

… II SUPERPIXEL METHODS This section will survey image segmentation methods and will
concentrate on the suitable methods for implementing superpixels. Superpixel generation …

… Image segmentation is the method of partitioning an image into a group of pixels that are …
Segmentation being a pre-processing step in image processing have been used in the number …

… classification and segmentation). A review of recent advances in Semseg techniques are …
paper by applying computational image processing and machine learning methods. This article …

… we survey the image datasets most commonly used to train and test DL image segmentation
… We have surveyed image segmentation algorithms based on deep learning models, which …

… , determines the success of higher level of image processing. In this paper, a detailed study
about different evaluation techniques based on subjective and objective methods have been …

… object instances are uniquely segmented. The focus of this work is semantic image
segmentation, where a pixel-level classification is targeted, and where image pixels which belong to …

… Hence, a large number of segmentation methods … review of the current medical segmentation
techniques. In particular, we reviewed the most important medical segmentation methods …

… The inaccurate segmentation results are unable to meet the … review of current medical image
segmentation methods based on … based on deep learning is summarized in this review [93]. …