Survey on Image Segmentation

By Yuanzhi Xie. 2002

645 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

Citations in the corpus

A Simple Framework for Open-Vocabulary Segmentation and Detection (2023, background): “Detection and segmentation have been long-standing problems in the vision community [8, 9, 37, 61].”
Segment Everything Everywhere All at Once (2023, background): “puter vision, as evidenced by the extensive literature on the subject [12, 11, 66, 37].”
Dynamic clustering using particle swarm optimization with application in image segmentation (2006, methodology): “There are many techniques for image segmentation in the literature [64, 65], of which one of the simplest techniques is to use a clustering algorithm (e.”
Segmentation and classification of hyperspectral images using watershed transformation (2010, background): “Another approach to define spatial structures consists in performing image segmentation [20, 21, 22].”
A Review of Automated Microinjection Systems for Single Cells in the Embryogenesis Stage (2016, background): “into three groups: 1) feature thresholding/clustering; 2) edge detection; and 3) region extraction/texture analysis to identify the objects in the image [83].”
Determination of Number of Clusters in K-Means Clustering and Application in Colour Image Segmentation (2000, background): “Many approaches to image segmentation have been proposed over the years [1-12].”
A Survey of Digital Map Processing Techniques (2014, background): “This scanning process is a crucial step to produce map images and determines the image quality of the scanned maps.”
Color image segmentation: advances and prospects (2001, methodology): “[2] discussed segmentation from the view point of cytology image processing.”
Yet Another Survey on Image Segmentation: Region and Boundary Information Integration (2002, background): “The problem of segmentation has been, and still is, an important research field and many segmentation methods have been proposed in the literature (see surveys [2,3,4]).”
Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques (2009, neutral): “Fu and Mui [22] identified three classes of image segmentation techniques: edge-based, region-based, and characteristic feature thresholding or clustering.”