Image Segmentation Using an Active Contour Model Based on the Difference Between Local Intensity Averages and Actual Image Intensities
The local intensity fitting active contour models can handle inhomogeneous images, but they suffer from the shortcomings of poor performance in segmenting images with severe intensity inhomogeneity and being sensitive to initializations. To overcome these problems, we put forward a robust active con...
Main Authors: | Xiaoying Shan, Xiaoliang Gong, Yingchun Ren, Asoke K. Nandi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9007358/ |
Similar Items
-
Active Contour Model Based on Local Intensity Fitting Energy for Image Segmentation and Bias Estimation
by: Xiaoying Shan, et al.
Published: (2018-01-01) -
Local and Global Active Contour Model for Image Segmentation With Intensity Inhomogeneity
by: Qing Cai, et al.
Published: (2018-01-01) -
Active Contour Driven by Weighted Hybrid Signed Pressure Force for Image Segmentation
by: Jiangxiong Fang, et al.
Published: (2019-01-01) -
Hybrid SPF and KD Operator-Based Active Contour Model for Image Segmentation
by: Asif Aziz Memon, et al.
Published: (2020-01-01) -
Inhomogeneous Image Segmentation Using Hybrid Active Contours Model With Application to Breast Tumor Detection
by: Asim Niaz, et al.
Published: (2020-01-01)