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.
Filters
Local Color Contrastive Descriptor for Image Classification
[article]
2015
arXiv
pre-print
Preserved Fulltext
In this paper, we present a simple yet efficient local descriptor for image classification, referred as Local Color Contrastive Descriptor (LCCD), by leveraging the neural mechanisms of color contrast. ...
The color contrast is computed by measuring f-divergence between the color distributions of two regions. Our descriptor enriches local image representation with both color and contrast information. ...
CONCLUSIONS We have presented a simple yet powerful local descriptor, local color contrastive descriptor (LCCD), for image classification. ...
arXiv:1508.00307v1
fatcat:fkybrhzfyfeldlrs3c5on425ry
Illuminant Invariant Descriptors for Color Texture Classification
[chapter]
2013
Lecture Notes in Computer Science
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.
In this paper we present a novel descriptor for color texture analysis specially designed to deal with changes in illumination in imaging. ...
The descriptor, that we called Intensity Color Contrast Descriptor (ICCD), is based on a combination of the LBP approach with a measure of color contrast defined as the angle between two color vectors ...
In this paper we present the Intensity Color Contrast Descriptor (ICCD): a descriptor that combines the Local Binary Pattern approach with information related to the local color contrast of the image. ...
doi:10.1007/978-3-642-36700-7_19
fatcat:sbxxathvcnbvpp2qxo44b5jzbi
Color Independent Components Based SIFT Descriptors for Object/Scene Classification
2010
IEICE transactions on information and systems
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.
The ICA-based color transformation can enhance contrast between the objects and the background in an image. ...
In this paper, we present a novel color independent components based SIFT descriptor (termed CIC-SIFT) for object/scene classification. ...
It can enhance contrast between object and background in an image. Consequently, the proposed CIC-SIFT can extract more effective and discriminative local features for object/scene classification. ...
doi:10.1587/transinf.e93.d.2577
fatcat:kd3zrormgvdzdnomqcpu3v6kym
Classification of weather situations on single color images
2008
2008 IEEE Intelligent Vehicles Symposium
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.
The proposed image descriptor clearly outperforms existing descriptors for that task. ...
We present an approach that is able to distinguish between multiple weather situations based on the classification of single monocular color images, without any additional assumptions or prior knowledge ...
For that reason, we used a non-linear RBF kernel for subsequent evaluation. In section II, we proposed a novel image descriptor for the task of weather classification. ...
doi:10.1109/ivs.2008.4621205
fatcat:2fnkkyxsm5f7ddptuqm5mx4bhu
Combining local binary patterns and local color contrast for texture classification under varying illumination
2014
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.
The descriptor combines a histogram of local binary patterns (LBPs) with a novel feature measuring the distribution of local color contrast. ...
This paper presents a texture descriptor for color texture classification specially designed to be robust against changes in the illumination conditions. ...
In this paper we present a texture descriptor that properly combines a histogram of LBPs with a feature encoding the distribution of local color contrast (LCC). ...
doi:10.1364/josaa.31.001453
pmid:25121431
fatcat:cfgibyfbyjcxlh5m3jddikpf2u
F-divergence based local contrastive descriptor for image classification
2014
2014 4th IEEE International Conference on Information Science and Technology
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 paper proposes a novel local contrastive descriptor for image classification based on the f -divergence, referred as LCD. ...
It extracts local image feature by computing the contrastive characteristic between image patches. ...
In this work, we propose a novel local contrastive descriptor by effectively leveraging the advantages of the fdivergence for encoding local color information. ...
doi:10.1109/icist.2014.6920594
fatcat:dc3uyv4brbdalnghckjapxh3u4
A comparative study of computational aesthetics
2014
2014 IEEE International Conference on Image Processing (ICIP)
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:
2018 pre-print arXiv:1811.08012v1 fatcat:ptrkdzqt6rfolosernebdwcmyu
Objective metrics model image quality by quantifying image degradations or estimating perceived image quality. ...
In this paper, we examine computational aesthetics models that use hand-crafted, generic and hybrid descriptors. ...
Hybrid Descriptors Color, geometric and aesthetics descriptors analyze the images in different aspects and they can be complementary to each other for classification. ...
doi:10.1109/icip.2014.7025118
dblp:conf/icip/TemelA14
fatcat:3pxirzikh5bcjgwbfkzmqfbnci
Noise Resilient Local Gradient Orientation for Content-Based Image Retrieval
2021
International Journal of Optics
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.
The proposed NRLGO consists of three steps: estimation and removal of noise to protect the local visual structure; extraction of color, texture, and local contrast features; and, at the end, generation ...
of microstructure for visual representation. ...
NRLGO relies on noise removal, color, texture classifications, and local contrast information. ...
doi:10.1155/2021/4151482
fatcat:yceevct6nfchvjhztfzquv2loi
Novel chromaticity similarity based color texture descriptor for digital pathology image analysis
2018
PLoS ONE
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.
Aware of the high color diagnosticity in pathology images, this work introduces a compact rotation-invariant texture descriptor, named quantized diagnostic counter-color pattern (QDCP), for digital pathology ...
On the basis of color similarity quantified by the inner product of unit-length color vectors, local counter-color textons are indexed first. ...
LCC-LBP combines the local contrast histogram to LBP descriptor extracted from the image luma component [30] . ...
doi:10.1371/journal.pone.0206996
pmid:30419049
pmcid:PMC6231632
fatcat:x5rfoaiywrapje7udjhcdd75wu
Assessing the aesthetic quality of photographs using generic image descriptors
2011
2011 International Conference on Computer 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 2017; you can also visit the original URL.
The file type is application/pdf.
We depart from this line of research and propose to use generic image descriptors to assess aesthetic quality. ...
We experimentally show that the descriptors we use, which aggregate statistics computed from low-level local features, implicitly encode the aesthetic properties explicitly used by state-of-the-art methods ...
In contrast, images with too many colors, or cheerless colors, received low scores. ...
doi:10.1109/iccv.2011.6126444
dblp:conf/iccv/MarchesottiPLC11
fatcat:y5nom5t5a5d3fgr44b2wiqewra
Aggregated color descriptors for land use classification
2015
Telfor Journal
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.
In this paper we propose and evaluate aggregated color descriptors for land use classification in aerial images. ...
First, global and local Bag-of-Colors (BoC) descriptors are evaluated for land use classification. Influence of different parameters on the performance and efficiency of classification were tested. ...
In [9] the Bag-of-Colors (BoC) descriptor has been introduced that uses an adaptive approach for color codebook computation, in contrast to fixed color partition, traditionally used with color descriptors ...
doi:10.5937/telfor1502091j
fatcat:v3dsn2ekg5b3xlchzkccb6xs6y
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
Several features have been proposed for this purpose, ranging from traditional statistical descriptors to features extracted with neural networks. ...
The database allows to systematically investigate the robustness of texture descriptors across a large range of variations of imaging conditions. ...
on pairs of color channels, namely the Opponent Color LBP (OCLBP) [50] ; • LBP combined with the Local Color Contrast descriptor, as described in [37] ; • 499-dimensional Local Color Contrast feature ...
doi:10.1364/josaa.33.000017
pmid:26831581
fatcat:kqijvzwbvbgdvar7mtr63cysvy
Assorted Techniques for Defining Image Descriptors to Augment Content Based Classification Accuracy
2020
International Journal of Engineering and Advanced Technology
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 three different feature vectors feature vector are contrasted to investigate the robustness of descriptor definition for content based image classification ...
Content based image classification (CBIC) thus gained it's popularity in classifying images to their corresponding categories. ...
Defining Descriptor using Image Binarization A local threshold based technique named Bernse's local threshold selection is used for adaptive binarization of images and separating the area of interest for ...
doi:10.35940/ijeat.b4208.029320
fatcat:jwe6bb5ymbgjdhmqzssuhzpogm
Local Angular Patterns for Color Texture Classification
[chapter]
2015
Lecture Notes in Computer Science
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.
We defined a new color texture descriptor, that we called Local Angular Patterns, specially designed to be robust to changes in the color of the illuminant. ...
The results show that our descriptor outperforms the state-of-the-art on a dataset of food textures. ...
To this purpose, we proposed a new descriptor that exploits a novel color space transformation and a novel descriptor based on Local Angular Patterns. ...
doi:10.1007/978-3-319-23222-5_14
fatcat:2vs2nqw6xvhetdylfwcsfvpu4u
Local Intensity Ordering based Binary Patterns for Image Region Description
2017
Advances In Image and Video Processing
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.
Local image region description is a fundamental task for image feature matching in the field of Computer Vision. ...
In this paper, two novel local image region descriptors called Local Intensity Order-based Center Symmetric Local Binary Patterns (LIOCSLBP) and Local Intensity Order-based Orthogonally Combined Local ...
The proposed color descriptor LIOCSLBP presents best performance in scene classification for OT scene dataset. ...
doi:10.14738/aivp.53.3279
fatcat:rypreie43jdkzpzdfgu7ftjmmq
« Previous
Showing results 1 — 15 out of 22,943 results