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DeepLumina: A Method Based on Deep Features and Luminance Information for Color Texture Classification

A. Philomina Simon, B. V. Uma, Bai Yuan Ding
2022 Computational Intelligence and Neuroscience  
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

Raimondo Schettini, Joost van de Weijer, Claudio Cusano, Paolo Napoletano
2016 Journal of Electronic Imaging (JEI)  
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

Chao Liu, Geifei Yang, Jinwei Gu
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
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

Mert Kilickaya, Umut Cinar, Sinan Ugurluoglu
2016 Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
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

Sri Winiarti, Adhi Prahara, Murinto, Dewi Pramudi
2018 International Journal of Advanced Computer Science and Applications  
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  
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

Juha Kyllönen, Matti Pietikäinen
2000 IAPR International Workshop on Machine Vision Applications  
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

Xiaohong Yue, Hongru Zhao
2022 Computational Intelligence and Neuroscience  
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

Basavaraj S. Anami, Mahantesh C. Elemmi
2015 International Journal of Signal Processing, Image Processing and Pattern Recognition  
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

Shivashankar S., Madhuri R.
2018 International Journal of Computer Applications  
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]

Qin Zou, Zheng Zhang, Qian Wang, Qingquan Li, Long Chen, Song Wang
2016 arXiv   pre-print
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  
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

Juan Martínez-Cabeza-de-Vaca-Alajarín, Luis-Manuel Tomás-Balibrea
1999 The European Symposium on Artificial Neural Networks  
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

Joseph Degol, Mani Golparvar-Fard, Derek Hoiem
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
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

Claudio Cusano, Paolo Napoletano, Raimondo Schettini
2015 Optical Society of America. Journal A: Optics, Image Science, and Vision  
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
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