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A FRAMEWORK FOR ANALYZING TEXTURE DESCRIPTORS
english
2008
Proceedings of the Third International Conference on Computer Vision Theory and Applications
unpublished
english
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This paper presents a new unified framework for texture descriptors such as Local Binary Patterns (LBP) and Maximum Response 8 (MR8) that are based on histograms of local pixel neighborhood properties. ...
This framework is enabled by a novel filter based approach to the LBP operator which shows that it can be seen as a special filter based texture operator. ...
This paper presents a new unified framework for these texture descriptors, which allows for a systematic comparison of these widely used descriptors and the parts that they are built of. ...
doi:10.5220/0001077305070512
fatcat:yr6hntmcknfr7hfykgebjdsuje
Multimedia Databases: Performance Measure Benchmarking Model (PMBM) Framework
2017
The International Journal of Engineering and Science
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building for the PMBM framework development. ...
The results of these experiments were used to develop the PMBM framework and were analyzed by a statistical software SPSS version 20. ...
Computed and analyzed the results to build the PMBM framework.
III. ...
doi:10.9790/1813-0606014958
fatcat:xgooqnudyzd47mywfif4cpakrm
A Pixel Labeling Framework for Comparing Texture Features Application to Digitized Ancient Books
english
2014
Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods
english
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In this article, a complete framework for the comparative analysis of texture features is presented and evaluated for the segmentation and characterization of ancient book pages. ...
Firstly, the content of an entire book is characterized by extracting the texture attributes of each page. The extraction of the texture features is based on a multiresolution analysis. ...
In (Mehri et al., 2013a) , a texture-based framework for segmentation of digitized historical books is proposed. ...
doi:10.5220/0004804705530560
dblp:conf/icpram/MehriGHBM14
fatcat:enol45hphvfs7itjl6jkogm7rm
Characterization And Adaptive Texture Synthesis-Based Compression Scheme
2011
Zenodo
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Each potential region from a GOP is both analyzed and synthesized, using side information from texture analyzer. ...
then computed for each size and analyzed. ...
doi:10.5281/zenodo.42349
fatcat:y4rnluskxvf35dhilx7mmq6ymm
Retrieving Texture Images Using Coarseness Fuzzy Partitions
[chapter]
2010
Communications in Computer and Information Science
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In this paper, a Fuzzy Dominant Texture Descriptor is proposed for semantically describing an image. ...
Given a "texture fuzzy set", its dominance in an image is analyzed and the dominance degree is used to obtain the image texture descriptor. ...
Fuzzy Dominant Texture Descriptor On the basis of the dominance of textures, a new image descriptor is proposed for the "Texture Coarseness" property: Definition 1. ...
doi:10.1007/978-3-642-14058-7_56
fatcat:ecvzjv4hxff5xjlmjclkpdecze
An Empirical Evaluation of the Local Texture Description Framework-Based Modified Local Directional Number Pattern with Various Classifiers for Face Recognition
2016
Brazilian Archives of Biology and Technology
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A feature descriptor titled Local Texture Description Framework-based Modified Local Directional Number pattern (LTDF_MLDN), capable of encoding texture patterns with pixels that lie at dissimilar regions ...
In recent years, local texture descriptors have garnered attention among researchers in describing effective texture patterns to demarcate facial images. ...
FEATURE EXTRACTİON
Local Texture Description Framework Local texture description by almost all current local texture descriptors is encoded with certain vicinity pixels closest to a reference pixel in ...
doi:10.1590/1678-4324-2016161057
fatcat:mkwuawrb2ne63bkp6plkcbxhe4
Texture feature evaluation for segmentation of historical document images
2013
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing - HIP '13
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Texture feature evaluation for segmentation of historical document images. ...
and also segment the content of the analyzed document image into homogeneous blocks based on extracted textural descriptors. ...
Therefore, the first stage of our framework is to determine the number of clusters from the extracted textural features of the whole analyzed book. ...
doi:10.1145/2501115.2501121
dblp:conf/icdar/MehriGHBM13
fatcat:bi2jw5weazbo5fws7ryvhepiiu
Analysis of texture patterns in medical images with an application to breast imaging
2007
Medical Imaging 2007: Computer-Aided Diagnosis
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We propose an approach for texture analysis in medical images that is based on Vector Quantization (VQ), a method traditionally used for image compression. ...
The proposed texture analysis framework has a potential to assist the interpretation of clinical images and facilitate the investigation of relationships among structure, texture and function or pathology ...
In this paper, we propose a methodological framework for texture analysis in medical images that is based on Vector Quantization (VQ). ...
doi:10.1117/12.713605
dblp:conf/micad/Megalooikonomou07
fatcat:qsaizketyreplhalhbc4p6gmya
Pain detection through shape and appearance features
2013
2013 IEEE International Conference on Multimedia and Expo (ICME)
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In this paper we are proposing a novel computer vision system that can recognize expression of pain in videos by analyzing facial features. ...
Manual monitoring of pain makes difficult for the medical practitioners to respond quickly in critical situations. Thus, it is desirable to design such a system that can automate this task. ...
In this paper we are proposing a framework that can recognize pain by analyzing face. ...
doi:10.1109/icme.2013.6607608
dblp:conf/icmcs/KhanMKB13
fatcat:n54zyzefijgklbgmg3njiczuae
Advanced Local Binary Patterns for Remote Sensing Image Retrieval
2018
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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To this end, this paper presents a comparative study in order to analyze and compare advanced LBP variants in RS CBIR domain. ...
The standard Local Binary Pattern (LBP) is considered among the most computationally efficient remote sensing (RS) image descriptors in the framework of large-scale content based RS image retrieval (CBIR ...
The considered LBP variants have been considered for the first time in the framework of RS CBIR problems. ...
doi:10.1109/igarss.2018.8518856
dblp:conf/igarss/TekesteD18
fatcat:7nlgpkncljaa3pszb6lpisxhpe
Image Texture Analysis for Medical Image Mining: A Comparative Study Direct to Osteoarthritis Classification using Knee X-ray Image
2020
International Journal on Advanced Science, Engineering and Information Technology
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From the conducted experiments, a total of 131 images (68 OA cases and 63 non-OA cases) was used, the results obtained show that LF region with Local Binary Pattern descriptor produced the most appropriate ...
The ten texture analysis techniques are then adopted to generate the embedded properties of the bone surface. ...
In addition, the texture of an object can be analyzed using texture descriptors, which is a technique to represent and handle texture in a numeric form. ...
doi:10.18517/ijaseit.10.6.8279
fatcat:neogmy7hpjgc7buwb4gvcctqea
Animation content in frame analysis
2016
Telfor Journal
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The existence of animation within a frame can be described by carefully selected features. We analyzed both fully and partially animated frames. ...
Animation frame content is analyzed in this paper. The animation found in frame/video content is usually characterized by specific color distribution and texture. ...
Wavelet Texture Grid Descriptor A wavelet texture grid descriptor is used since an animation has a different distribution of edge elements from real content. ...
doi:10.5937/telfor1602110z
fatcat:gduxq3e5yjbsdmuh5br5ujs3xm
A fuzzy approach for retrieving images in databases using dominant color and texture descriptors
2010
International Conference on Fuzzy Systems
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For this purpose, two new descriptors "Fuzzy Dominant Color Descriptor" and "Fuzzy Dominant Texture Descriptor" are proposed. ...
In this paper, a fuzzy approach for image retrieval on the basis of color and texture features is presented. ...
In this section, Fuzzy Descriptors for dominant colors and textures are proposed (section IV-B) on the basis of the dominance degree of a given color/texture (section IV-A).
A. ...
doi:10.1109/fuzzy.2010.5584124
dblp:conf/fuzzIEEE/Chamorro-MartinezMS10
fatcat:b64zpa3durddnik4yy3czrnkfq
A novel feature descriptor based on the shearlet transform
2011
2011 18th IEEE International Conference on Image Processing
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Shearlet transforms provide a general framework for analyzing and representing data with anisotropic information at multiple scales. ...
Experimental results comparing HOG with HSC show that HSC provides significantly better results for the problems of texture classification and face identification. ...
Shearlet transforms provide a general framework for analyzing and representing data with anisotropic information at multiple scales. ...
doi:10.1109/icip.2011.6115600
dblp:conf/icip/SchwartzSDP11
fatcat:tlyk37b6erhibnpivvitibz4vy
Similarity Estimation for Large-Scale Human Action Video Data on Spark
2018
Applied Sciences
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Therefore, we devise a novel approach for human action similarity estimation in the distributed environment. The efficiency of human action similarity estimation depends on feature descriptors. ...
To resolve this, we introduce a new feature descriptor, namely Edge based Local Pattern descriptor (ELP). ...
[23] proposed a robust facial image descriptor to analyze toner and skin information effectively for recognizing face expression called Local Transitional Pattern. ...
doi:10.3390/app8050778
fatcat:qqtaxrms3balzo6vnwaabpatjy
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