International Journal of Frontiers in Sociology, 2020, 2(8); doi: 10.25236/IJFS.2020.020808.
Qiushi Guan1,* , Jie Zhao2
1College of Water Conservancy and Environment, Three Gorges University, Yichang, 443002, China
2School of Economics and Business Administration, Central China Normal University, Wuhan, 430079, China
*Corresponding author e-mail: [email protected]
With the rapid development of artificial intelligence technology and computer vision, image segmentation technology has become the core problem to be solved in the image processing process in machine vision.Color image has become a research hotspot because it has more information than gray image and is easy to recognize objects.In this paper, the existing color image segmentation algorithms are systematically reviewed, their advantages and disadvantages are analyzed, and the future development direction of color image segmentation technology is prospected in the conclusion section.
Color Image Segmentation; Color Features; Area Growth Points; Watershed; Neural Network
Qiushi Guan, Jie Zhao. Overview of Color Image Segmentation Methods. International Journal of Frontiers in Sociology (2020), Vol. 2, Issue 8: 61-67. https://doi.org/10.25236/IJFS.2020.020808.
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