scholarly journals A PDE-Free Variational Method for Multi-Phase Image Segmentation Based on Multiscale Sparse Representations

2017 ◽  
Vol 3 (3) ◽  
pp. 26
Author(s):  
Julia Dobrosotskaya ◽  
Weihong Guo
Keyword(s):  
Image Segmentation ◽  
Variational Method ◽  
Sparse Representations ◽  
Phase Image ◽  
Multi Phase

Multi-phase image segmentation with the adaptive deformable mesh

2019 ◽  
Vol 117 ◽  
pp. 97-103 ◽  
Author(s):  
Tuan T. Nguyen ◽  
Vedrana A. Dahl ◽  
J. Andreas Bærentzen
Keyword(s):  
Image Segmentation ◽  
Phase Image ◽  
Deformable Mesh ◽  
Multi Phase

A Multiscale Algorithm for Image Segmentation by Variational Method

1994 ◽  
Vol 31 (1) ◽  
pp. 282-299 ◽  
Author(s):  
G. Koepfler ◽  
C. Lopez ◽  
J. M. Morel
Keyword(s):  
Image Segmentation ◽  
Variational Method ◽  
Multiscale Algorithm

Phase Image Segmentation and Filtering Algorithm Based on Direction of the Gradient Factor

2014 ◽  
Vol 670-671 ◽  
pp. 1488-1492
Author(s):  
Chi Zhang ◽  
Zhong Wei Li ◽  
Yu Sheng Shi
Keyword(s):  
Image Segmentation ◽  
Median Filter ◽  
Phase Image ◽  
Point Matching ◽  
Performance Specifications ◽  
Noise Data ◽  
Image Edge ◽  
Phase Data ◽  
Effective Phase ◽  
Phase Shift Method

To satisfy rigid performance specifications of structure light measurement by phase shift method, the algorithm of phase image segmentation and filter based on direction of the gradient factor was introduced in this paper. In this method, phase image was divided into three parts by condition of extreme value and direction of the gradient factor, including continuous area, edge area and regional noise. Only phase data in continuous area was processed by median filter. This method can reduce the point matching computation of 3-D reconstruction, and at the same time can protect the image edge details, so as to reduce the noise data, provide accurate and effective phase data for reconstruction. Results of segmentation verify feasibility and effectiveness of presented method.

Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions

2020 ◽  
Vol 130 ◽  
pp. 207-215 ◽  
Author(s):  
Jian Wang ◽  
Jing Li ◽  
Xian-Hua Han ◽  
Lanfen Lin ◽  
Hongjie Hu ◽  
...  
Keyword(s):  
Medical Images ◽  
Sparse Representations ◽  
Focal Liver Lesions ◽  
Liver Lesions ◽  
Multi Phase

Study of Image Segmentation and Image Restoration Based on Variational Method

2014 ◽  
Vol 644-650 ◽  
pp. 4319-4321
Author(s):  
Xiu Bo Shi
Keyword(s):  
Image Segmentation ◽  
Variational Method ◽  
Image Restoration ◽  
Computer Technology ◽  
Image Understanding ◽  
Optical Instrument ◽  
Health Care Education ◽  
Industrial Health ◽  
Subsequent Target ◽  
Instrument Observation

People are very familiar to the image. Image can be obtained by optical instrument observation of the objective world or image in the eyes of people of objective scenery in the human visual system. With the development of computer technology, digital image technology has been widely used in scientific research, industrial, health care, education, entertainment and communication. Therefore, the research of image technology has vital significance. This article mainly research image segmentation and image restoration based on variational method. Image segmentation is to divide the image into some meaningful area, is the foundation of subsequent target recognition and image understanding.

Weighted variational two-phase image segmentation based on Fuzzy Region Competition

2011 ◽  
Author(s):  
Vinicius R. P. Borges ◽  
Celia A. Zorzo Barcelos ◽  
Denise Guliato ◽  
Marcos Aurelio Batista
Keyword(s):  
Image Segmentation ◽  
Phase Image ◽  
Two Phase ◽  
Fuzzy Region
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