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Content Based Image Retrieval: Survey and Comparison of CBIR System based on Combined Features
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
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In this paper, performance of various CBIR systems, based on combined feature i.e color texture and shape, are compared. ...
In image processing, computer vision and pattern recognition, the Image retrieval is a most popular research area. ...
Basically, the shape contains semantic information of object, and it is different from other elementary visual features, such as color or texture features [3] . ...
doi:10.14257/ijsip.2015.8.11.37
fatcat:j7zr22rqdzcfdfbkh5qbaqrdme
Content Based Image Retrieval: Survey and Comparison of CBIR System Based on Combined Features
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
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In this paper, performance of various CBIR systems, based on combined feature i.e color texture and shape, are compared. ...
In image processing, computer vision and pattern recognition, the Image retrieval is a most popular research area. ...
Basically, the shape contains semantic information of object, and it is different from other elementary visual features, such as color or texture features [3] . ...
doi:10.14257/ijsip.2015.8.10.18
fatcat:w7i2ghfd4bbq7c34vrx5j57wna
A RESEARCH REVIEW ON RETRIEVAL TECHNIQUES OF DIGITAL IMAGES
2017
International Journal of Engineering and Technology
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Image Retrieval (IR) is an exciting and growing research areain multimedia. ...
IR techniques are required in many fields of digital imaging like Medical Imaging, Remote sensing, Forensic Science, Military and printing. ...
QBIC uses an R*-tree index to sort images based on significance. Virage: developed by Virage, retrieves global color, local color, texture and shapes. ...
doi:10.21817/ijet/2017/v9i6/170906305
fatcat:eggklh6c5fgchi6bhstte2354m
Content-Based Image Retrieval Features: A Survey
2018
International journal of advanced networking and applications
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The local shape is more related to the expressing of result instead of the method. Local shape features may be derived from the texture properties and the color derivatives. ...
Texture features are used in different CBIR systems along with color, shape, geometrical structure and sift features. ...
Local shape descriptors are related to the geometric details of an image. Local shape features may be derived from the texture properties and the color derivatives. ...
doi:10.35444/ijana.2018.100111
fatcat:m7epi7eyinesrlakzafksospnq
Content Based Image Retrieval using Collaborative Color, Texture and Shape Features
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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In this paper, CBIR is implemented using collaboration of color; texture and shape attribute to improve the feature discriminating property. ...
We have proposed color histogram features for color feature extraction, Local Binary Pattern (LBP) for texture feature extraction, and Histogram of oriented gradients (HOG) for shape attribute extraction ...
CBIR can be performed using particular combination of the color, texture and shape of the image object, the presence or arrangement of specific types of objects, the view of particular type of event, and ...
doi:10.35940/ijitee.b8014.019320
fatcat:4fjja2yiazauvdzm7tf5z6iyeq
Self-supervised Visual Attribute Learning for Fashion Compatibility
[article]
2021
arXiv
pre-print
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However, prior work in SSL focuses on tasks like object recognition or detection, which aim to learn object shapes and assume that the features should be invariant to concepts like colors and textures. ...
Our tasks include learning to predict color histograms and discriminate shapeless local patches and textures from each instance. ...
features in colors and textures without encoding shape information. ...
arXiv:2008.00348v2
fatcat:n6tpfsjkujcdlmiltmgdvgccge
Illumination color covariant locale-based visual object retrieval
2002
Pattern Recognition
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Since the rotation, scale and translation parameters are thus estimated, we can apply an e cient process of texture support and shape veriÿcation. ...
Making use of feature-consistent locales in an image we develop a scene partition by localization, rather than by image segmentation. ...
Conclusion This paper presents a color covariant search method by object model using multiple features (color, texture, shape, etc.). ...
doi:10.1016/s0031-3203(01)00163-7
fatcat:buygcsuakrhqjhdypcjznibe34
An Analysis of Segmentation Techniques to Identify Herbal Leaves from Complex Background
2015
Procedia Computer Science
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In this paper we are examining various object detection techniques for segmenting leaves based on color, shape and texture. ...
Features like local adaptive mean color, evidence based color model, color histogram techniques are used. ...
To overcome these drawbacks of global and local adaptive mean color mode and for achieving better results with color images, K-means clustering algorithm is used. ...
doi:10.1016/j.procs.2015.04.140
fatcat:pkupsxngvnfcnfll7bb6wkkzve
PARTICLE FILTER-BASED OBJECT TRACKING USING JOINT FEATURES OF COLOR AND LOCAL BINARY PATTERN HISTOGRAM FOURIER
2016
Kursor
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The proposed joint feature is able to capture object with changing shape and has better accuracy than single feature of color or joint color texture from other LBP variants. ...
In this research, we combine color histogram and texture from Local Binary Pattern Histogram Fourier (LBPHF) operator as feature in object tracking. ...
Similarly, [7] proposes to combine color and texture extracted by Local Binary Pattern in mean shift tracking, and [12] uses color and texture generated by DWT for tracking object using Gaussian sum ...
doi:10.28961/kursor.v8i2.64
fatcat:zbqb2iw6kjapdghz7t4v6mgffu
Separate Channels for Processing Form, Texture, and Color: Evidence from fMRI Adaptation and Visual Object Agnosia
2010
Cerebral Cortex
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We used stimuli varying in their shape, texture, or color, and tested healthy participants and 2 object-agnosic patients, in both a discrimination task and a functional MR adaptation paradigm. ...
Previous neuroimaging research suggests that although object shape is analyzed in the lateral occipital cortex, surface properties of objects, such as color and texture, are dealt with in more medial areas ...
Gouws, and M. Hymers for their assistance with fMRI data collection and to Bob Metcalf for help in hardware development. ...
doi:10.1093/cercor/bhp298
pmid:20100900
fatcat:ftbmdktp6vci5ptstsqzfp2yji
Survey on Colour, Texture and Shape Features for Person Re-Identification
2016
Indian Journal of Science and Technology
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Findings: From the analysis we found that colour and texture features outperform the shape feature. ...
Methods/Statistical Analysis: The features for re-identification is categorized into three groups namely colour, texture and shape. ...
The main objective of this paper is to make a survey on recently used colour, texture and shape features and their characteristics for person re-identification. ...
doi:10.17485/ijst/2016/v9i29/93823
fatcat:motusbekajbu5kkeoblbuqrc3e
Identification of paddy leaf diseases based on texture analysis of Blobs and color segmentation
2020
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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This study aims to identification paddy plant diseases based on texture analysis of Blobs and color segmentation. Blobs analysis is used to get the number of objects, area and perimeter. ...
Color segmentation is used to find out some color parameters of paddy leaf disease such as the color of the lesion boundary, the color of the spot of the lesion, and the color of the paddy leaf lesion. ...
Object is a lesion on the paddy leaf. Shape texture analysis uses Blobs analysis by calculating the ratio of the boundary box, which is height/width. ...
doi:10.12928/telkomnika.v18i4.14614
fatcat:pkqhy4d75zevtmwmprv53hif24
Local Color Voxel and Spatial Pattern for 3D Textured Recognition
2017
International Journal on Advanced Science, Engineering and Information Technology
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3D textured retrieval including shape, color dan pattern is still a challenging research. ...
Some approaches are proposed, but voxel-based approach has not much been made yet, where by using this approach, it still keeps both geometry and texture information. ...
For the different reason and different use, we study about local extraction on a 3D color voxel to generate local features. ...
doi:10.18517/ijaseit.7.2.2173
fatcat:nrd2wggtcbh73lkvqvu6oefxmu
A STUDY AND SURVEY ON CONTENT-BASED IMAGE RETRIEVAL USING LOW LEVEL FEATURES FOR MOBILE DEVICES
2020
Samvakti Journal of Research in Information Technology
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features like color, texture and shape for efficient and accurate image retrieval on mobile devices. ...
In Content based Image Retrieval (CBIR), images are retrieved by their visual content such as color, texture and shapes. ...
Today, CBIR features such as Color, Shape and textures using these fillings we retrieve images from large image scale database. ...
doi:10.46402/202007.343.48.255
fatcat:knj6oozskne6dmgzv6s2tnmh2u
A survey on cbir techniques and learning algorithm comparison
2016
International Journal of Latest Trends in Engineering and Technology
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[8] present that CBIR uses visual image contents for example global features-color feature, shape feature, texture feature, and local features-spatial domain present to indicate and image index. ...
CBIR depends upon visual low-Ievel feature extraction i-e color, texture, shape and spatial layout. ...
doi:10.21172/1.81.026
fatcat:jvw72a4pmjhmzogib5gqy7sgqm
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