A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
DeepLumina: A Method Based on Deep Features and Luminance Information for Color Texture Classification
2022
Computational Intelligence and Neuroscience
Preserved Fulltext
This paper proposes a method, DeepLumina, that uses features from the deep architectures and luminance information with RGB color space for efficient color texture classification. ...
This technique captures convolutional neural network features from the ResNet101 pretrained models and uses luminance information from the luminance (Y) channel of the YIQ color model and performs classification ...
Materials and Methods In color texture classification, deep neural networks can better capture color and luminance features. e proposed method DeepLumina investigates the advantage of using RGB and luminance ...
doi:10.1155/2022/9510987
pmid:35463270
pmcid:PMC9023203
fatcat:ydl3kw3dgzbzda5dst3g2pzjxu
Special Section Guest Editorial:Color in Texture and Material Recognition
2016
Journal of Electronic Imaging (JEI)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
for texture and material classification. ...
Color and textures are important components of material appearance. The study of texture and material recognition has a long history in image analysis and computer vision. ...
doi:10.1117/1.jei.25.6.061401
fatcat:rcorvbqvzrde3d5epfd3pmgtb4
Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions
2013
2013 IEEE Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We present a computational imaging method for raw material classification using features of Bidirectional Texture Functions (BTF). ...
Texture is an intrinsic feature for many materials, such as wood, fabric, and granite. ...
Gabrielle Gaustad and suggestions from anonymous reviewers. This work is supported by a grant from NYSP2I and NSF IIS-1257163. ...
doi:10.1109/cvpr.2013.188
dblp:conf/cvpr/LiuYG13
fatcat:ohu6eep3zvbxrdooxzjbgjfkmy
Efficient Marble Slab Classification using Simple Features
2016
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper we present a novel method which utilizes color, structural and textural representations of a marble. ...
We suggest the best settings for an automatic marble classification system which is simple and fast enough to be used in a real-life environment like marble factories. ...
A.S. and Bilge Technology for funding this research. ...
doi:10.5220/0005723201920199
dblp:conf/visapp/KilickayaCU16
fatcat:2wbixqxx45dc3kr3zdzr7sw57q
Pre-Trained Convolutional Neural Network for Classification of Tanning Leather Image
2018
International Journal of Advanced Computer Science and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Furthermore, skin from different part of animal body may have different color and texture. Therefore, a leather classification method on tanning leather image is proposed. ...
Before the skins are used as leather craft materials, they go through a tanning process. ...
Hand-Crafted Feature Extraction The hand-crafted leather classification usually based on color and texture. ...
doi:10.14569/ijacsa.2018.090129
fatcat:z2j4xvzeyzgqhgoj7bbbhbnpru
DIABETES DETECTION USING TONGUE IMAGE USING EXTRACTION OF GLOBAL FEATURES AND DECISION TREE
2020
European Journal of Molecular and Clinical Medicine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Diabetes detection using tongue image using extraction of texture and random forestis described in this study.Initially, the input tongue images are given to global feature for feature extraction and finally ...
Experimental results show the performance of proposed system using texture and RFC. ...
Methods and Materials: The input tongue images are given to global featurefor extraction of features and for the prediction of normal and abnormal tongue images for diabetes detection using decision tree ...
doi:10.31838/ejmcm.07.09.166
fatcat:a22svqdmqjaerl2upod6etc24m
Visual Inspection of Parquet Slabs by Combining Color and Texture
2000
IAPR International Workshop on Machine Vision Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
T h ~s paper describes a wood surface inspection method that combines color percentile features with texture features based on simple spatial operators. ...
The goal of this research was to find out if the performance of color based wood inspection systems could be improved by combining color and texture information. ...
First the color percentile features and texture features were all used individually and then color percentile features were combined with texture features.
3
Features used in this study
3.1
Color ...
dblp:conf/mva/KyllonenP00
fatcat:k46ncu633nfsxe7jqrnyhqpbte
Image Layout and Schema Analysis of Chinese Traditional Woodblock Prints Based on Texture and Color Texture Characteristics in the Environment of Few Samples
2022
Computational Intelligence and Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Based on the analysis of texture and color texture features in a few-sample environment, this paper proposes an automatic classification method for vignetting texture pictures by extracting the corresponding ...
The purpose of the texture expression produced in the creation of contemporary woodcut is to explore the rich texture expression forms made by contemporary representative painters using special material ...
It can be seen from the above table that the best way to make the texture feature recognition effect better is to use texture feature combined with color feature, so that the accuracy and calculation time ...
doi:10.1155/2022/8008796
pmid:35860637
pmcid:PMC9293512
fatcat:qxarlv34zrbsrlv7tetmueabde
A Rule Based Approach for Classification of Shades of Basic Colors of Fabric Images
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This paper presents a rule based approach to classify the different shades of basic colors of fabric images. The RGB color features are extracted. ...
The mean and standard deviation of shades of red, green and blue colors are computed. A rule base is designed taking into account, the mean and standard deviation values. ...
., 2013] has presented a paper on Color and texture feature-based image retrieval by using hadamard matrix in discrete wavelet transform. ...
doi:10.14257/ijsip.2015.8.2.36
fatcat:s3plptnwvfgnvjex5a5llh3dte
Automatic Wood Classification using a Novel Color Texture Features
2018
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The aim of this work is to develop a novel color texture features by constructing a histogram based on the combined intensity and color channel information to effectively classify color texture images. ...
The K-Nearest Neighbor (K-NN) classification method is used as a classifier. The classification results are encouraging to use the proposed scheme with reduction in features. ...
Color and texture are the two main attributes used to deal with real world images for color texture classification problems. ...
doi:10.5120/ijca2018916648
fatcat:y7cmlo3ubrbvdaxksmhogny4ry
Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Clothing fashions are usually expressed with visual stimuli such as style, color, and texture. ...
Experimental results demonstrate that, on clothing-fashion updates, the style holds a higher influence than the color, and the color holds a higher influence than the texture. ...
Acknowledgements We would like to thank the members at NIS&P Lab at Wuhan University for their help in collecting and preprocessing the data used in this work. ...
arXiv:1608.07444v1
fatcat:zkkpwwpgl5cu5g6pzeiiuysmnm
Colour texture analysis of fundus image for glaucoma diagnosis using hidden Markov models
2020
European Journal of Molecular and Clinical Medicine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In this study, an efficient method for glaucoma diagnosis using hidden markov models is presented. Initially, the red, green and blue color components are separated. ...
Finally, Hidden Markov Models (HMM) is used for glaucoma diagnosis. The experimental results and discussion shows the performance of the proposed system. ...
Neural network based glaucoma classification is described in [6] . The texture features are used for feature extraction then PCA and statistical analysis method are used. ...
doi:10.31838/ejmcm.07.09.157
fatcat:jzh5ohfdnjgw5j36w4uzzlel4e
Marble slabs quality classification system using texture recognition and neural networks methodology
1999
The European Symposium on Artificial Neural Networks
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This article describes the use of an LVQ neural network for the clustering and classification of marble slabs according to their texture. ...
The method used for the recognition of textures is based on the Sum and Difference Histograms, a faster version of the Co-occurrence Matrices. ...
The authors would like to thank them for their technical support about practical aspects of marble classification. ...
dblp:conf/esann/Martinez-Cabeza-de-Vaca-AlajarinT99
fatcat:ak3jgkjx3ff75mpqexhtgd5tzy
Geometry-Informed Material Recognition
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We investigate how 3D geometry (surface normals, camera intrinsic and extrinsic parameters) can be used with 2D features (texture and color) to improve material classification. ...
Our results show that using 2D and 3D features both jointly and independently to model materials improves classification accuracy across multiple scales and viewing directions for both material patches ...
We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPUs used for this research. ...
doi:10.1109/cvpr.2016.172
dblp:conf/cvpr/DeGolFH16
fatcat:4yvvqgkscbc3dokadnclvzl2ua
Evaluating color texture descriptors under large variations of controlled lighting conditions
2015
Optical Society of America. Journal A: Optics, Image Science, and Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2015 pre-print arXiv:1508.01108v1 fatcat:mgaropga7zfrnbf7nfvhcupqby
In this paper we report an extensive comparison of old and new texture features, with and without a color normalization step, with a particular focus on how they are affected by small and large variation ...
The evaluation is performed on a new texture database including 68 samples of raw food acquired under 46 conditions that present single and combined variations of light color, direction and intensity. ...
[9] used SIFT and HOG descriptors for material classification, while Sharma et al. [32] used a variation of the Fisher Vector approach for texture and face classification. Cimpoi et al. ...
doi:10.1364/josaa.33.000017
pmid:26831581
fatcat:kqijvzwbvbgdvar7mtr63cysvy
« Previous
Showing results 1 — 15 out of 55,160 results