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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 …
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 …
investigate the structure and appearance of near-surface aquatic sediments. The recognition …
Survey of contemporary trends in color image segmentation
In recent years, the acquisition of image and video information for processing, analysis,
understanding, and exploitation of the underlying content in various applications, ranging …
understanding, and exploitation of the underlying content in various applications, ranging …
Theoretical and experimental comparison of different approaches for color texture classification
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 …
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 …
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
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 …
enhance the effects of segmentation, a new color–texture descriptor is designed by …
Learning completed discriminative local features for texture classification
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 …
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 …
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 …
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 …
evaluation of a number of texture descriptors that analyse texture at micro‐level such as …