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Local Phase Oriented Structure Tensor To Segment Texture Images With Intensity Inhomogeneity
Hiren K Mewada, Suprava Patnaik
Pages - 302 - 313 | Revised - 15-05-2013 | Published - 30-06-2013
Published in International Journal of Image Processing (IJIP)
MORE INFORMATION
KEYWORDS
Linear Structure Tensor, Quadrature filter, Active contour, Image Segmentation
ABSTRACT
This paper proposed the active contour based texture image segmentation scheme using the
linear structure tensor and tensor oriented steerable Quadrature filter. Linear Structure tensor
(LST) is a popular method for the unsupervised texture image segmentation where LST contains
only horizontal and vertical orientation information but lake in other orientation information and
also in the image intensity information on which active contour is dependent. Therefore in this
paper, LST is modified by adding intensity information from tensor oriented structure tensor to
enhance the orientation information. In the proposed model, these phases oriented features are
utilized as an external force in the region based active contour model (ACM) to segment the
texture images having intensity inhomogeneity and noisy images. To validate the results of the
proposed model, quantitative analysis is also shown in terms of accuracy using a Berkeley image
database.
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Associate Professor Hiren K Mewada
Charotar University of Science and Technology - India
mewadahiren@gmail.com
Dr. Suprava Patnaik
Xavier Institute of Technology - India