Results 21 to 30 of about 48,049 (318)

Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters [PDF]

, 2012
In this paper, local distributions of low order Gaussian Markov Random Field (GMRF) model parameters are proposed as texture features for unsupervised texture segmentation.Instead of using model parameters as texture features, we exploit the variations ...
Michael Bennet, Chathurika Dharmagunawardhana, Mahesan Niranjan, Mahmoodi, Sasan, Bennett, Michael, Mahesan, Niranjan, Dharmagunawardhana, Chathurika, Sasan Mahmoodi   +7 more
core   +1 more source

Multi-Phase Image Segmentation Based on Low-Rank Prior Decomposition

IEEE Access, 2022
Natural images generally contain both structure component and texture component. The existing image segmentation models based on piecewise smooth cannot handle such natural images containing texture well.
Jianlou Xu, Yuying Guo, Leigang Huo
doaj   +1 more source

Volumetric texture segmentation by discriminant feature selection and multiresolution classification [PDF]

, 2007
In this paper, a multiresolution volumetric texture segmentation (M-VTS) algorithm is presented. The method extracts textural measurements from the Fourier domain of the data via subband filtering using an orientation pyramid (Wilson and Spann, 1988).
Constantino C Reyes Aldasoro (16060949), Reyes Aldasoro, Constantino Carlos, Bhalerao, Abhir, Bhalerao, A., A Bhalerao (16060952), Reyes-Aldasoro, C. C., Constantino Carlos Reyes Aldasoro, Abhir Bhalerao   +7 more
core   +1 more source

GrabCut Image Segmentation Algorithm Based on Structure Tensor [PDF]

Jisuanji gongcheng, 2017
Traditional GrabCut based image segmentation method is mainly based on the image pixel values to build a graph model,and does not take into account the rich texture of color image information.This paper presents an image segmentation algorithm based on ...
ZHANG Yong,YUAN Jiazheng,LIU Hongzhe,LI Qing
doaj   +1 more source

Color texture measurement and segmentation

Signal Processing, 2005
In computer vision, meaurement of image properties such as color or texture is essential. In this paper, we propose a solid framework for the local measurement of texture in color images. We give a physical basis for the integration of the well-known Gabor filters with the measurement of color.
Hoang, M.A., Geusebroek, J.M., Smeulders, A.W.M.   +2 more
openaire   +4 more sources

Self-Supervised Skin Lesion Segmentation: An Annotation-Free Approach

Mathematics, 2023
Skin cancer poses a significant health risk, affecting multiple layers of the skin, including the dermis, epidermis, and hypodermis. Melanoma, a severe type of skin cancer, originates from the abnormal proliferation of melanocytes in the epidermis ...
Abdulrahman Gharawi, Mohammad D. Alahmadi, Lakshmish Ramaswamy   +2 more
doaj   +1 more source

Texture Analysis to Enhance Drone-Based Multi-Modal Inspection of Structures

Drones, 2022
The drone-based multi-modal inspection of industrial structures is a relatively new field of research gaining interest among companies. Multi-modal inspection can significantly enhance data analysis and provide a more accurate assessment of the ...
Parham Nooralishahi, Gabriel Ramos, Sandra Pozzer, Clemente Ibarra-Castanedo, Fernando Lopez, Xavier P. V. Maldague   +5 more
doaj   +1 more source

TEXTURE-BASED SEPARATION TO REFINE BUILDING MESHES [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
In this paper, we present a texture-based separation approach to refine building meshes, which aims to address the challenges of detecting and isolating different objects in an indoor scene mesh.
J. Vermandere, M. Bassier, M. Vergauwen
doaj   +1 more source

Unsupervised Texture Segmentation: Comparison of Texture Features [PDF]

Mehran University Research Journal of Engineering and Technology, 2010
Texture is an important image-content that has been utilized for different machine intelligent tasks, like those in machine vision and remote sensing, which identify objects of interest by segmenting the image texture.
AHSAN AHMAD URSANI, ABDUL WAHEED UMRANI, FAHIM AZIZ UMRANI   +2 more
doaj  

Frame representations for texture segmentation

IEEE Transactions on Image Processing, 1996
We introduce a novel method of feature extraction for texture segmentation that relies on multichannel wavelet frames and 2-D envelope detection. We describe and compare two algorithms for envelope detection based on (1) the Hilbert transform and (2) zero crossings.
Laine, Andrew F., Fan, Jian
openaire   +4 more sources