A factorization based active contour model for texture segmentation

This paper presents a factorization based active contour model for 2-phase texture segmentation. We utilize the local spectral histogram as the texture features, and then establish a novel energy function based on the theory of the matrix decomposition. Unlike the existing methods, we only choose th...

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Bibliographic Details
Published inProceedings - International Conference on Image Processing pp. 4309 - 4313
Main Authors Mingqi Gao, Hengxin Chen, Shenhai Zheng, Bin Fang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
Active contour model
Active contours
Computational modeling
Histograms
Image edge detection
Image segmentation
Level set
Matrix decomposition
Matrix decomposition techniques
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Summary:This paper presents a factorization based active contour model for 2-phase texture segmentation. We utilize the local spectral histogram as the texture features, and then establish a novel energy function based on the theory of the matrix decomposition. Unlike the existing methods, we only choose the combination weights from object region and background region to handle the motion of curve. We compare the proposed method to the recently active contour methods and the experiments are performed on synthetic and the real-world images. The experimental results show that our model is more robust against the complex background than the other strategies.
ISSN:2381-8549
DOI:10.1109/ICIP.2016.7533173