Image Segmentation Algorithms Overview
It offers a comprehensive review for researchers and practitioners in fields like medical imaging and computer vision, but is incremental as it summarizes existing methods without introducing new ones.
This paper provides an overview of existing image segmentation algorithms, analyzing and comparing their advantages and disadvantages, and predicts future development trends by combining these techniques.
The technology of image segmentation is widely used in medical image processing, face recognition pedestrian detection, etc. The current image segmentation techniques include region-based segmentation, edge detection segmentation, segmentation based on clustering, segmentation based on weakly-supervised learning in CNN, etc. This paper analyzes and summarizes these algorithms of image segmentation, and compares the advantages and disadvantages of different algorithms. Finally, we make a prediction of the development trend of image segmentation with the combination of these algorithms.