Image segmentation based on the integration of colour–texture descriptors—A review

DE Ilea, PF Whelan - Pattern Recognition, 2011 - Elsevier
The adaptive integration of the colour and texture attributes in the development of complex
image descriptors is one of the most investigated topics of research in computer vision. The …

The use of sediment profile imaging (SPI) for environmental impact assessments and monitoring studies: lessons learned from the past four decades

RN Gibson, RJA Atkinson, JDM Gordon… - … and Marine Biology …, 2011 - api.taylorfrancis.com
Sediment profile imaging (SPI) technology has been used in some form since 1969 to
investigate the structure and appearance of near-surface aquatic sediments. The recognition …

Survey of contemporary trends in color image segmentation

SR Vantaram, E Saber - Journal of Electronic Imaging, 2012 - spiedigitallibrary.org
In recent years, the acquisition of image and video information for processing, analysis,
understanding, and exploitation of the underlying content in various applications, ranging …

Theoretical and experimental comparison of different approaches for color texture classification

F Bianconi, R Harvey, P Southam… - Journal of Electronic …, 2011 - spiedigitallibrary.org
Color texture classification has been an area of intensive research activity. From the very
onset, approaches to combining color and texture have been the subject of much …

Color texture classification based on proposed impulse-noise resistant color local binary patterns and significant points selection algorithm

S Fekriershad, F Tajeripour - Sensor Review, 2017 - emerald.com
Purpose The purpose of this paper is to propose a color-texture classification approach
which uses color sensor information and texture features jointly. High accuracy, low noise …

Multilayer graph cuts based unsupervised color–texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging

Y Yang, S Han, T Wang, W Tao, XC Tai - Pattern recognition, 2013 - Elsevier
This paper proposes an unsupervised color–texture image segmentation method. In order to
enhance the effects of segmentation, a new color–texture descriptor is designed by …

Learning completed discriminative local features for texture classification

Z Zhang, S Liu, X Mei, B **ao, L Zheng - Pattern Recognition, 2017 - Elsevier
Local binary patterns (LBP) and its variants have shown great potentials in texture
classification tasks. LBP-like texture classification methods usually follow a two-step feature …

TSDAnet: texture strip dual attention network for intraclass texture classification

G Sakthipriya, N Padmapriya… - Signal, Image and Video …, 2024 - Springer
Intraclass texture classification is a challenging task due to the high similarity between
subtypes within the same texture. The presence of comparable texture properties degrades …

Segmentation d'images par combinaison adaptative couleur-texture et classification de pixels.: Applications à la caractérisation de l'environnement de réception de …

D Attia - 2013 - theses.hal.science
En segmentation d'images, les informations de couleur et de texture sont très utilisées. Le
premier apport de cette thèse se situe au niveau de l'utilisation conjointe de ces deux …

Local binary patterns versus signal processing texture analysis: a study from a performance evaluation perspective

O Ghita, D Ilea, A Fernandez, P Whelan - Sensor Review, 2012 - emerald.com
Purpose–The purpose of this paper is to review and provide a detailed performance
evaluation of a number of texture descriptors that analyse texture at micro‐level such as …