Results 11 to 20 of about 32,666,734 (297)
Automatic texture segmentation for content-based image retrieval application [PDF]
, 2006 In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm.
Fauzi, M.F.A., Lewis, P.H.
core +2 more sources
Multi-resolution texture classification based on local image orientation [PDF]
, 2008 The aim of this paper is to evaluate quantitatively the discriminative power of the image orientation in the texture classification process. In this regard, we have evaluated the performance of two texture classification schemes where the image ...
Ovidiu Ghita +5 more
core +2 more sources
Enriching texture analysis with semantic data [PDF]
, 2013 We argue for the importance of explicit semantic modelling in human-centred texture analysis tasks such as retrieval, annotation, synthesis, and zero-shot learning.To this end, low-level attributes are selected and used to define a semantic space for ...
Tim Matthews +6 more
core +2 more sources
Efficient texture analysis of binary images [PDF]
Journal of Microscopy, 1998 A new method of determining some characteristics of binary images is proposed based on a special linear filtering. This technique enables estimation of the area fraction, the specific line length and the specific integral of curvature. Furthermore, the specific length of the total projection is obtained, which gives detailed information about the ...
Ohser, Joachim +2 more
openaire +2 more sources
Overcomplete Image Representations for Texture Analysis
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2014 In recent years, computer vision has played an important role in many scientific and technological areas mainlybecause modern society highlights vision over other senses.
Rodrigo Nava
doaj +1 more source
Special Issue Texture and Color in Image Analysis
Applied Sciences, 2021 Texture and color are two types of visual stimuli that determine, to a great extent, the appearance of objects, materials, and scenes [...]
Francesco Bianconi +2 more
doaj +1 more source
Texture image analysis and texture classification methods - A review
CoRR, 2019 Tactile texture refers to the tangible feel of a surface and visual texture refers to see the shape or contents of the image. In the image processing, the texture can be defined as a function of spatial variation of the brightness intensity of the pixels. Texture is the main term used to define objects or concepts of a given image.
Laleh Armi, Shervan Fekri Ershad
openaire +2 more sources
Classification of ordered texture images using regression modelling and granulometric features [PDF]
, 2011 Structural information available from the granulometry of an image has been used widely in image texture analysis and classification. In this paper we present a method for classifying texture images which follow an intrinsic ordering of textures, using ...
Gray, Alison +2 more
core +4 more sources
On The Effect Of Image Brightness And Contrast Nonuniformity On Statistical Texture Parameters
Foundations of Computing and Decision Sciences, 2015 Computerized texture analysis characterizes spatial patterns of image intensity, which originate in the structure of tissues. However, a number of texture descriptors also depend on local average image intensity and/or contrast. This variations, known as
Materka Andrzej, Strzelecki Michał
doaj +1 more source
Bayesian texture classification and retrieval based on multiscale feature vector [PDF]
, 2011 This paper proposes a supervised multiscale Bayesian texture classifier. The classifier exploits the dual-tree complex wavelet transform (DT-CWT) to obtain complex-valued multiscale representations of training texture samples for each texture class. The
Tjahjadi, Tardi +3 more
core +1 more source