Proceedings Article10.5244/C.9.5
Texture analysis using local property maps
P. P. Smyth,Christopher J. Taylor,Judith E. Adams +2 more
- 01 Jul 1995
- pp 47-56
TL;DR: The application of the method to a difficult texture analysis problem - grading the degree of osteoporosis in radiographs of the femoral neck - is described and it is shown that better results can be obtained than with either Laws' texture features or conventional granulometry.
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Abstract: Morphological granulometry has been shown to be effective in a range of texture analysis applications We describe an extension to the standard approach which allows truly local properties of the texture to be measured at each pixel The result is a set of texture features which are analogous to those which could be measured for individual texture primitives, if they could be isolated We demonstrate the ability of the method to estimate the known properties of the primitives in synthetic texture images and show that reasonably accurate results can be obtained over a range of practically useful conditions We describe the application of the method to a difficult texture analysis problem - grading the degree of osteoporosis in radiographs of the femoral neck - and show that better results can be obtained than with either Laws' texture features or conventional granulometry
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Citations
Unsupervised morphological granulometric texture segmentation of digital mammograms
Sooncheol Baeg,Sinan Batman,Edward R. Dougherty,Vishnu G. Kamat,Nasser Kehtarnavaz,Seungchan Kim,Anthony T. Popov,Krishnamoorthy Sivakumar,Robert B. Shah +8 more
TL;DR: This paper applies granulometric segmentation to digitized mammograms in an unsupervised framework to determine the algorithm structure that best accords to an expert radiologist’s view of a set of mammograms.
19
Texture anisotropy in 3-D images
TL;DR: Two approaches to the characterization of three-dimensional (3-D) textures are presented: one based on gradient vectors and one on generalized co-occurrence matrices and their potential as diagnostic tools and tools for quantifying and monitoring the progress of various pathologies is discussed.
References
Textural Features for Image Classification
Robert M. Haralick,K. Shanmugam,Its'hak Dinstein +2 more
- 01 Nov 1973
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
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Fractal-Based Description of Natural Scenes
TL;DR: The3-D fractal model provides a characterization of 3-D surfaces and their images for which the appropriateness of the model is verifiable and this characterization is stable over transformations of scale and linear transforms of intensity.
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Changes in Trabecular Pattern of the Upper End of the Femur as an Index of Osteoporosis
TL;DR: Roentgenograms of the hip region, in a series of thirty-five patients above the age of fifty years, were studied with particular reference to the trabecular pattern of the upper end of the femur, suggesting that these patterns can be utilized as a roentgenographic scale for the diagnosis and grading of osteoporosis.
1.2K