Active Contour Models Based on Block Similarity for Multiple Objects Segmentation
Joint Authors
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-06
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
For the model of active contours with group similarity (ACGS), a rank constraint for a group of evolving contours is defined to keep the shape similarity.
ACGS obtains robust results in extracting a single object with missing or misleading features.
However, with one initial contour, it could not extent to multiple objects segmentation because low-rank property will not hold in some image sequences.
Besides, ACGS is affected by nontarget objects.
In this paper, an active contour model based on block similarity of shapes is proposed to extend the ACGS model to realize multiple objects extraction.
For a sequence of image with multiple objects, a model for multiple objects extraction is constructed by combining sparse decomposition and ACGS; second, a block low-rank constraint is proposed to constrain the similarity of these evolving contours in every block; finally, segmentation results are obtained through iterative evolutions.
Experimental results show the proposed method could segment images with multiple targets, and it improves the robust segmentation performance of sequence of image when the features of multiobjects are missing or misleading.
American Psychological Association (APA)
Liu, Guoqi& Jinjin, Wei. 2019. Active Contour Models Based on Block Similarity for Multiple Objects Segmentation. Complexity،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1132109
Modern Language Association (MLA)
Liu, Guoqi& Jinjin, Wei. Active Contour Models Based on Block Similarity for Multiple Objects Segmentation. Complexity No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1132109
American Medical Association (AMA)
Liu, Guoqi& Jinjin, Wei. Active Contour Models Based on Block Similarity for Multiple Objects Segmentation. Complexity. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1132109
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132109