Edge Detection Techniques for Image Segmentation - A Survey of Soft Computing Approaches

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Deep Structural Contour Detection (2020, methodology): “Although the unsupervised manners suffer from drawbacks of noisy pixels and lacking of semantic contours, they are still widely used in the applications like image segmentation [35], object feature extraction [28] and human pose estimation [39].”
Understanding Deep Learning Techniques for Image Segmentation (2019, methodology): “Generally traditional methods such as histogram thresholding [195], hybridization [193, 87] feature space clustering [40], regionbased approaches [59], edge detection approaches [184], fuzzy approaches [39], entropy-based approaches [47], neural networks (Hopfield neural network [35], self-organizin”