Geometry and Color in Natural Images
Journal of Mathematical Imaging and Vision
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
An Algorithm for Total Variation Minimization and Applications
Journal of Mathematical Imaging and Vision
Non-Rigid Motion Estimation Using the Robust Tensor Method
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 1 - Volume 01
International Journal of Computer Vision
Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking
WACV '07 Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision
Fast Global Minimization of the Active Contour/Snake Model
Journal of Mathematical Imaging and Vision
Pattern Recognition Letters
Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Local Histogram Based Segmentation Using the Wasserstein Distance
International Journal of Computer Vision
An efficient local Chan-Vese model for image segmentation
Pattern Recognition
Color Image Segmentation Based on Vectorial Multiscale Diffusion with Inter-scale Linking
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Moving object segmentation using the flux tensor for biological video microscopy
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
segmenting multiple textured objects using geodesic active contour and DWT
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
Journal of Scientific Computing
Variational and Level Set Methods in Image Segmentation
Variational and Level Set Methods in Image Segmentation
Adaptive robust structure tensors for orientation estimation and image segmentation
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Variational color image segmentation via chromaticity-brightness decomposition
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
IEEE Transactions on Image Processing
Variational Models for Image Colorization via Chromaticity and Brightness Decomposition
IEEE Transactions on Image Processing
Minimization of Region-Scalable Fitting Energy for Image Segmentation
IEEE Transactions on Image Processing
Localizing Region-Based Active Contours
IEEE Transactions on Image Processing
A segmentation model and application to endoscopic images
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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We study an efficient texture image segmentation model for multichannel images using a local feature fitting based active contours scheme. Using a chromaticity-brightness decomposition, we propose a flexible segmentation approach using multi-channel texture and intensity in a globally convex continuous optimization framework. We make use of local feature histogram based weights with the smoothed gradients from the brightness channel and localized fitting for the chromaticity channels. A fast numerical implementation is described using an efficient dual minimization formulation and experimental results on synthetic and real color images indicate the superior performance of the proposed method compared to related approaches. The novel contributions include the use of local feature density functions in the context of a luminance-chromaticity decomposition combined with a globally convex active contour variational method to capture texture variations for image segmentation.