Results 251 to 260 of about 140,951 (296)

Segmentation by Texture Using Correlation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1983
The correlation coefficients are used for segmentation according to texture. They are first evaluated on a set of square regions forming two levels of the quadratic picture tree (or pyramid). If the coefficients of a square and its four children in the tree are similar, then that region is considered to be of uniform texture.
Patrick C. Chen, Theodosios Pavlidis
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Texture Based Segmentation

2006
The ability of human observers to discriminate between textures is related to the contrast between key structural elements and their repeating patterns. Here we have developed an automatic texture classification approach based on this principle. Local contrast information is modelled and a hybrid metric, based on probability density distributions and ...
Reyer Zwiggelaar, Erika R. E. Denton
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Boundary localization in texture segmentation

IEEE Transactions on Image Processing, 1995
Localizing boundaries between textured image regions without sacrificing the labeling accuracy of interior regions remains a problem in segmentation. Difficulties arise because of the conflicting requirements of localization and labeling. Boundary localization usually demands observing the features over small neighborhoods, whereas labeling accuracy ...
Stephan R. Yhann, Tzay Y. Young
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Hierarchical texture segmentation

1997
We present a new hierarchical texture segmentation method that partitions an image into textured regions. A textured region is viewed as a set of uniformly distributed primitives. A primitive is a region with constant gray values. Gray values within a primitive can be corrupted by noise.
Peter Bajcsy, Narendra Ahuja
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Color texture measurement and segmentation

Signal Processing, 2005
In computer vision, meaurement of image properties such as color or texture is essential. In this paper, we propose a solid framework for the local measurement of texture in color images. We give a physical basis for the integration of the well-known Gabor filters with the measurement of color.
Hoang, M.A., Geusebroek, J.M., Smeulders, A.W.M.   +2 more
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Quaternion color texture segmentation

Computer Vision and Image Understanding, 2007
The quaternion representation of color is shown here to be effective in the context of segmenting color images into regions of similar color texture. The advantage of using quaternion arithmetic is that a color can be represented and analyzed as a single entity.
Lilong Shi, Brian V. Funt
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Moment based texture segmentation

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,, 1994
Abstract Texture segmentation is one of the early steps towards identifying surfaces and objects in an image. In this paper a moment-based texture segmentation algorithm is presented. The moments in small windows of the image are used as texture features which are then used to segment the textures.
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A fuzzy approach to texture segmentation

International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004., 2004
The texture segmentation techniques are diversified by the existence of several approaches. In this paper, we propose fuzzy features for the segmentation of texture image. For this purpose, a membership function is constructed to represent the effect of the neighboring pixels on the current pixel in a window.
Hanmandlu, Madasu, Madasu, Vamsi Krishna, Vasikarla, Shantaram   +2 more
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Turbo Segmentation of Textured Images

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
We consider the problem of semi-supervised segmentation of textured images. Existing model-based approaches model the intensity field of textured images as a Gauss-Markov random field to take into account the local spatial dependencies between the pixels. Classical Bayesian segmentation consists of also modeling the label field as a Markov random field
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Jordan features for texture segmentation

Proceedings of Third International Conference on Electronics, Circuits, and Systems, 2002
This paper deals with the application to texture segmentation of two concepts, namely the Jordan Decomposition Theorem, which says that any bounded variation function can be expressed as the difference of two non-decreasing functions, and the Peano-scan, which is a 1D traversal of square domains.
Dinu Coltuc, Jean-Marie Becker, Vasile Buzuloiu   +2 more
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