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Texture analysis of medical images
Clinical Radiology, 2004The analysis of texture parameters is a useful way of increasing the information obtainable from medical images. It is an ongoing field of research, with applications ranging from the segmentation of specific anatomical structures and the detection of lesions, to differentiation between pathological and healthy tissue in different organs.
G, Castellano +3 more
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Texture Detection for Image Analysis
2005Many applications such as image compression, pre-processing or segmentation require some information from the regions composing an image. The main objective of this paper is to define a methodology to extract some local information from an image. Each region is characterized in terms of homogeneity (region composed with the same grey-level or a single ...
Sébastien Chabrier +2 more
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Fourier Spectrum Image Texture Analysis
2018 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2018A texture descriptor is a collection of quantified measurements of a texture's properties. They are used to describe how the basic unit of a texture is repeated in an image, such as the pattern size, pattern linelikeness, directional unification and directionality. These quantified measures have often been calculated in the spatial domain.
Xinyu Hu, Andrew Ensor
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Artificial Intelligence and Texture Analysis in Cardiac Imaging
Current Cardiology Reports, 2020The aim of this structured review is to summarize the current research applications and opportunities arising from artificial intelligence (AI) and texture analysis with regard to cardiac imaging.Current research findings suggest tremendous potential for AI in cardiac imaging, especially with regard to objective image analyses, overcoming the ...
Mannil, Manoj +5 more
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Texture Features in Facial Image Analysis
2005While features used for texture analysis have been successfully used in some biometric applications, only quite few works have considered them in facial image analysis. Texture-based region descriptors can be very useful in recognizing faces and facial expressions, detecting faces and different facial components, and in other face related tasks.
Matti Pietikäinen, Abdenour Hadid
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Texture analysis and segmentation of seismic images
International Conference on Acoustics, Speech, and Signal Processing, 2003A method is proposed for the texture analysis and segmentation of geophysical images. It is based on the detection of the seismic horizons and on the calculation of their features (e.g. length, average reflection strength, signature). These features represent the texture of the seismic image.
Ioannis Pitas, Costas Kotropoulos
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Texture Analysis in Lung HRCT Images
2008 Digital Image Computing: Techniques and Applications, 2008Automatic classification of lung tissue patterns in high resolution computed tomography images of patients with interstitial lung diseases is an important stage in the construction of a computer-aided diagnosis system. To this end, a novel approach is proposed using two sets of overcomplete wavelet filters, namely discrete wavelet frames (DWF) and ...
Azar Tolouee +4 more
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Image Texture Analysis - A Survey
SSRN Electronic Journal, 2019In this paper, different image texture analysis methods are discussed along with soft bio metric traits using various existing approaches. This adds to an outlook for future work in building integrated range of classifiers based on application side requirements. Texture is a measurable Characteristic having more reliability in case of security relevant
Pramod Devalatkar +1 more
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Observer-driven texture analysis in CT imaging
Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, 2020We have implemented a technique for analyzing and characterizing the textures in medical images. This technique generates a list of characteristic textures and sorts them from most important to least important for the task of detecting a specific signal in the image.
Matthew A. Kupinski +2 more
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Multiresolution texture analysis of SAR images
1998It is widely recognized that SAR images exhibit a fractal behavior represented by the concept of fractal dimension, which is related to an intuitive concept of surface "roughness". The most suited approach to compute the fractal dimension comes from the power spectra of a fractal Brownian motion: the ratio between energies at different scales is ...
Bruno Aiazzi +2 more
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