Results 1 to 10 of about 48,049 (318)
Object-based multiscale segmentation incorporating texture and edge features of high-resolution remote sensing images [PDF]
PeerJ Computer Science, 2023 Multiscale segmentation (MSS) is crucial in object-based image analysis methods (OBIA). How to describe the underlying features of remote sensing images and combine multiple features for object-based multiscale image segmentation is a hotspot in the ...
Xiaole Shen, Yiquan Guo, Jinzhou Cao
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A novel parallel unsupervised texture segmentation approach
SN Applied Sciences, 2023 This study presents a new idea for unsupervised texture segmentation from the angle of bionics. According to this idea, a novel approach called “side-by-side superposition unsupervised texture segmentation (SSUTS)” is designed.
Guangtao Ge
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Texture Image Segmentation Based on GLCM and Self-adaptive Gabor Filter Bank [PDF]
Jisuanji gongcheng, 2017 To solve the problem of parameter selection in the algorithm of texture image segmentation based on Gabor filter,a texture image segmentation algorithm is proposed in this paper,which predicts the number of texture types and the parameters of Gabor ...
MIN Yongzhi,CHENG Tiandong,YIN Chao,YUE Biao,XIAO Benyu,MA Hongfeng
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Dynamic texture segmentation [PDF]
Proceedings Ninth IEEE International Conference on Computer Vision, 2003 We address the problem of segmenting a sequence of images of natural scenes into disjoint regions that are characterized by constant spatio-temporal statistics. We model the spatio-temporal dynamics in each region by Gauss-Markov models, and infer the model parameters as well as the boundary of the regions in a variational optimization framework ...
Gianfranco Doretto +3 more
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Image segmentation based on improved OSV decomposition model
Xi'an Gongcheng Daxue xuebao, 2022 A new multi-region image segmentation model based on improved OSV image decomposition was proposed for the coexistence of image structure and texture components. The model preserved the divergence-free vector field of texture image, combined multi-region
GUO Yuying +4 more
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Fuzzy Color Aura Matrices for Texture Image Segmentation
Journal of Imaging, 2022 Fuzzy gray-level aura matrices have been developed from fuzzy set theory and the aura concept to characterize texture images. They have proven to be powerful descriptors for color texture classification. However, using them for color texture segmentation
Zohra Haliche +3 more
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Texture recognition system based on the Deep Neural Network [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020 This paper presents a deep learning-based image texture recognition system. The methodology taken in this solution is formed in a bottom-up manner. It means we swipe a moving window through the image in order to categorize if a given region belongs to ...
R. Kapela
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Level Set Method Combing with Shape Prior for Intensity-texture Image Segmentation [PDF]
Jisuanji gongcheng, 2018 Traditional level set methods for image segmentation cannot deal with the efficiency segmentation of intensity-texture image problem,which consider more of the underlying data and ignore the high-level semantic features.Aiming at this problem,this paper ...
WANG Ti,CHEN Jian,ZENG Lei,TONG Li,YAN Bin
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Forest Vegetation Texture Segmentation in Remote Sensing Image Based on Visual Attention [PDF]
Jisuanji gongcheng, 2018 As a typical texture unit of forest vegetation in remote sensing image,the canopy has prominent structural texture features,but the current segmentation methods make use of this texture insufficiently.Aiming at this problem,based on visual attention ...
LIU Xiaodan,YUE Shuang
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A Computational Model Of Texture Segmentation [PDF]
Twenty-Second Asilomar Conference on Signals, Systems and Computers, 2003 We present a. computational model of human texture segmentation and argue for its utility in machine vision. Major theories due to Julesz and Beck attribute preattentive texture segmentation to differences in first-order statistics of stimulus features such as orientation, size and brightness of constituent elements.
Malik, Jitendra, Perona, Pietro
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