Results 181 to 190 of about 102,250 (219)
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A Test of Stationarity for Textured Images
Technometrics, 2014This article proposes a test of stationarity for random fields on a regular lattice motivated by a problem arising from texture analysis. Our approach is founded on the locally stationary two-dimensional wavelet (LS2W) process model for lattice processes that has previously been used for standard texture analysis tasks, such as texture discrimination ...
Sarah L. Taylor +2 more
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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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Sample Selection in Textured Images
2007 IEEE International Conference on Image Processing, 2007This paper proposes a texture learning method based on fractal compression and iterated function systems (IFS). This type of approach allows to extract self-similarities between blocks of a given image. The number of similarities for each element yields to a score of each blocks.
Benoît Dolez, Nicole Vincent
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Audification and sonification of texture in images
Journal of Electronic Imaging, 2001Texture is one of the main image attributes used for vi- sual and computer-aided pattern recognition in several areas. How- ever, texture analysis is often confounded by other neighboring or surrounding features. The auditory system has not been used much for image analysis in spite of the fact that it has several advantages over the visual system.
Antonio Cesar Germano Martins +2 more
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Automatic texture segmentation for texture-based image retrieval
10th International Multimedia Modelling Conference, 2004. Proceedings., 2004Texture-segmentation is the crucial initial step for texture-based image retrieval. Texture is the main difficulty faced to a segmentation method. Many image segmentation algorithms either can’t handle texture properly or can’t obtain texture features directly during segmentation which can be used for retrieval purpose.
Ying Liu 0026, Xiaofang Zhou 0001
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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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1999
The use of the image color information beyond color histograms has been limited for image retrieval. A reason is the lack of an accepted core basic color operation set on color images. With the grown interest in image retrieval applied to color images, new operators have been recently developed, having interesting properties.
Niels Nes, Marcos Cordeiro d'Ornellas
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The use of the image color information beyond color histograms has been limited for image retrieval. A reason is the lack of an accepted core basic color operation set on color images. With the grown interest in image retrieval applied to color images, new operators have been recently developed, having interesting properties.
Niels Nes, Marcos Cordeiro d'Ornellas
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Visual simulation of texture/non-texture image synthesis
Proceedings Computer Graphics International 2000, 2002We propose a new and effective image modeling dual technique which is capable of simulating both texture image synthesis and non-texture images like fractals. The technique uses the algebraic approach of graph grammars theory as a new simulation tool for both texture and non-texture image synthesis via its graph production, derivation and double ...
Hussein Karam +2 more
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Supervised Texture Detection in Images
2005This paper presents a technique for texture segmentation in images. Providing a small template of a texture of interest results in the image being segmented into regions with similar properties and background (non-similar) regions. The core of the segmentation engine is based on the minimal cut/maximal flow algorithm in the graph representing an image.
Branislav Micusík, Allan Hanbury
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Color and Texture Image Segmentation
2012For applications, such as image recognition or scene understanding, we cannot process the whole image directly for the reason that it is inefficient and unpractical. Therefore, to reduce the complexity of the recognition of the image, segmentation is a necessary step.
Chitti Kokil Kumar +2 more
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