Recent human vision research [1] suggests modelling preattentive texture segmentation by taking a set of feature samples from a local region on each side of a hypothesized edge, and then performing standard statistical tests to determine if the two samples differ significantly in their mean or variance. If the difference is significant at a specified level of confidence, a human observer will t...

The segmentation of colored texture images is considered. Either luminance, color, and/or texture features could be used for segmentation. For luminance and color the classes are described using the corresponding empirical probability distributions. The Discrete Wavelet Frames analysis is used for obtaining features of texture patterns. At a first stage, pattern analysis is performed for extrac...

This paper investigates novel LBP-guided active contour approaches to texture segmentation. The Local Binary Pattern (LBP) operator is well suited for texture representation, combining efficiency and effectiveness for a variety of applications. In this light, two LBP-guided active contours have been formulated, namely the scalar-LBP Active Contour (s-LAC) and the vector-LBP Active Contour (v-LA...

This paper proposes an approach to image segmentation using Iterated Graph Cuts based on local texture features of wavelet coefficients. Using Haar Wavelet based Multiresolution Analysis, the lowfrequency range (smoothed image) is used for the n-link and the highfrequency range (local texture features) is used for the t-link along with the color histogram. The proposed method can segment an obj...

69 Abstract—Image Segmentation is an important pixel base measurement of image processing, which often has a large impact on quantitative image analysis results. The texture is most important attribute in many image analysis or computer vision applications. The procedures developed for texture problem can be subdivided into four categories: structural approach, statistical approach, model based...

In this paper, a novel color image segmentation algorithm and a novel approach to large-format image segmentation are presented, both focused on usage for image segmentation in content-based multimedia applications. The novel color image segmentation algorithm uses the Discrete Wavelet Frames decomposition to extract texture features and performs pixel classification using a novel initial clust...

In this report, we propose a novel and e cient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture segmentation based on the structure tensor and nonlinear di usion. Then, we propose a variational framework that allows to incorporate these features in a level set based unsupervised segmentation process that adaptivel...