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.
Filters
A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System
2012
International Journal of Computer Applications
Preserved Fulltext
Figure 1 : 1 Content Based Image Retrieval System 3. ...
This paper has proposed and investigated a novel approach based on natural language fuzzy logic queries, fuzzy mapping of image database and fuzzy similarity distance for retrieving the images based on ...
doi:10.5120/9607-4238
fatcat:6uwcjr5jnvfuvcxagxuinaei44
A Survey On: "Content Based Image Retrieval Systems"
2010
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 2017; you can also visit the original URL.
The file type is application/pdf.
General Terms Content Based Image Retrieval Technology, neuro-fuzzy system. ...
In this paper the techniques of content based image retrieval are discussed, analysed and compared. ...
Selvaraj [18] proposed a neuro-fuzzy technique for content based image retrieval in 2005. ...
doi:10.5120/802-1139
fatcat:cyu3m23jevbshfr3rvqzm5w75u
A Novel Approach of Color-Texture based CBIR Using Fuzzy Logic
2014
International Journal of Database Theory and Application
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 method firstly clusters the images based on RGB components, using Fuzzy clustering algorithm, secondly the image retrieval is performed based on texture element in the clustered database. ...
Image retrieval is an emerging research area for multimedia database. It is the basic requirement task in the present scenario. In this paper we propose a novel CBIR approach using Fuzzy clustering. ...
Content-based image retrieval (CBIR) [1] is an emerging research topic for multimedia databases and digital libraries. Figure 1 shows the Content-based Image Retrieval model. ...
doi:10.14257/ijdta.2014.7.4.07
fatcat:4g5xpfvgafgrra2qvxcmvkfnqi
Content-based image retrieval by shape matching
2006
NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society
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 2011; you can also visit the original URL.
The file type is application/pdf.
Successful retrieval of images from large-scale image collections is one of the current problems in the field of ...
content-based image retrieval based on * the second Shape database has been derived by means of shape similarity. ...
It can be In this paper we present a content-based image retrieval seen that the three modules access to two separate databases: system that performs indexing and querying based on shape the Image database ...
doi:10.1109/nafips.2006.365870
fatcat:zgaoqyesdjbhrjvyi3aivf2iiq
Hybrid technique for colour image classification and efficient retrieval based on fuzzy logic and neural networks
2012
The 2012 International Joint Conference on Neural Networks (IJCNN)
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.
This paper proposes a novel fuzzy approach to classify the colour images based on their content, to pose a query in terms of natural language and fuse the queries based on neural networks for fast and ...
To retrieve the specific images efficiently from database or from Internet is becoming a challenge now a day. ...
Soft queries in image retrieval systems present the use of soft computing and user defined classifications in multimedia database systems for content based queries [11] . ...
doi:10.1109/ijcnn.2012.6252587
dblp:conf/ijcnn/FernandoK12
fatcat:n2kwz3amufabtjuabponbnet6y
Fuzzy Logic Using in Images Retrieval Depending on Their Features
2019
Journal of Southwest Jiaotong University
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.
In our current research, we have developed a system of image recognition based on image characteristics and some content information using the most important artificial intelligence algorithms, a fuzzy ...
The program was executed on a set of standard database called the WANG database. It holds the contents of 1000 images from the Corel stock photo database, in JPEG format. ...
THE PROPOSED RETRIEVAL SYSTEM The Retrieval system is classified based on typical content by retrieving the local image stored in the computer and non-local images stored on the internet. ...
doi:10.35741/issn.0258-2724.54.5.32
fatcat:iunkaeeedvgvne67owqybnwfze
Review of Content Based Image Retrieval Systems
English
2015
International Journal of Engineering Trends and Technoloy
English
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 contrast to a traditional system, in which the images are retrieved based on the keywords, CBIR system retrieves the images based on the visual content. ...
Keywords-review, content based image retrieval, visual features, relevance feedback, fuzzy logic I. ...
Conventional system Basically Content based image retrieval technique is a method to retrieve images that matches to the given specifications of the query image. ...
doi:10.14445/22315381/ijett-v19p231
fatcat:fb3cbfgnvzf2lgwcblu47b6wdy
A Survey On Semantic Image Retrieval For Bigdata
2017
International Journal Of Engineering And 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 Semantic based image retrieval, the weight adjustment scheme is used to give the high priority for the contents which are semantically more related. ...
In this survey, homogeneous image data is retrieved by the proposed fuzzy logic based feedback weight adjustment scheme which will increase the score of the class which is more preferred by the users. ...
Fig.4.Content based image retrieval As illustrated in Fig.4 CBIR is divided into off-line feature extraction and on-line image retrieval. ...
doi:10.18535/ijecs/v6i3.21
fatcat:worc74lj6vas7i2dh4vbrctfo4
Structured Image Retrieval
1997
Journal of Visual Languages and Computing
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 2011; you can also visit the original URL.
The file type is application/pdf.
The retrieval is based on similarity measures by comparing the contents of the query image and database image. The frame-based representation scheme is application-independent. ...
Most image-retrieval systems rely on similarity measures for collecting images of similar types. Similarity measures are an integral part in the development of image management systems. ...
In image databases, images are preprocessed to produce content descriptions which are stored in the database alongside the images. ...
doi:10.1006/jvlc.1997.0040
fatcat:zu7rc62xwze55brw7a6juoaky4
A fuzzy-neural approach for interpretation and fusion of colour and texture features for CBIR systems
2004
Applied Soft Computing
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.
Before retrieving the images from the database based on the color feature, it is necessary to preprocess the image, extracting the color features and storing them in a database. ...
Before retrieving the images based on the single color and content type, images were preprocessed. This preprocessing includes, downloading real world images from the WWW to form the image database. ...
doi:10.1016/j.asoc.2004.06.002
fatcat:gjfud3v6vjf65djzvdozhjit7i
Comparison of Content Based Image Retrieval Systems Using Wavelet and Curvelet Transform
2012
The International Journal of Multimedia & Its 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.
In this paper a color image retrieval system is illustrated, in which the novelty lies in the use of a fuzzy partition of the HSV color space and wavelet transformation of the fuzzified new image. ...
retrieval. ...
SIMILARITY MEASURE Content-based image retrieval determines visual similarities between a query image and images in a database. ...
doi:10.5121/ijma.2012.4412
fatcat:lw34lan7crfzlhbxwg7d4dhy7e
Fuzzy Color Histogram Based Content Based Image Retrieval of Query Images
English
2015
International Journal of Engineering Trends and Technoloy
English
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.
Keywords -Content based image retrieval (CBIR), Fuzzy Color Histogram, Retrieval and Query Image. ...
Content based image retrieval (CBIR) is a promising approach because of its automatic indexing retrieval based on their semantic features and visual appearance. ...
CONTENT-BASED IMAGE RETRIEVAL (CBIR) Content-based image retrieval (CBIR) has become one of the most active research areas in the past few years. ...
doi:10.14445/22315381/ijett-v23p280
fatcat:hfjtw2f5rzhsha2326usgjhlay
MapReduce neural network framework for efficient content based image retrieval from large datasets in the cloud
2012
2012 12th International Conference on Hybrid Intelligent Systems (HIS)
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 adopt natural language queries that use a fuzzy approach to classify the colour images based on their content and apply Map and Reduce functions that can operate in cloud clusters for arriving at accurate ...
With digital explosion, image collections in databases in distributed locations over the Internet pose a challenge to retrieve images that are relevant to user queries efficiently and accurately. ...
ACKNOWLEDGMENT The authors wish to thank Ranisha Fernando for the initial experimental study conducted in this ongoing research work. ...
doi:10.1109/his.2012.6421310
dblp:conf/his/VenkatramanK12
fatcat:forqt3yjnvbznhzdpqtwqrjqyi
Content Based Medical Image Retrieval Using Fuzzy Gaussian Mixture Model with Relevance Feedback
2016
International Journal Of Engineering And 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.
Content Based Medical image retrieval can assist physicians in binding information supporting their diagnosis. ...
Content-based image retrieval with relevance feedback schemes based on Method Fuzzy Logic Gaussian Mixture model didn't require much time when compared to GMM. Also FLGMM gives efficient clustering. ...
Introduction Content Based Image Retrieval uses the visually content of an image such as color, shape, texture, and spatial layout to represent an index of an image. ...
doi:10.18535/ijecs/v4i10.37
fatcat:lwyupgroqvdffc22scvxwqm37u
Colour image annotation using hybrid intelligent techniques for image retrieval
2012
2012 12th International Conference on Hybrid Intelligent Systems (HIS)
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 adopt natural language queries that use a fuzzy approach to classify the colour images based on their content and apply Map and Reduce functions that can operate in cloud clusters for arriving at accurate ...
With digital explosion, image collections in databases in distributed locations over the Internet pose a challenge to retrieve images that are relevant to user queries efficiently and accurately. ...
ACKNOWLEDGMENT The authors wish to thank Ranisha Fernando for the initial experimental study conducted in this ongoing research work. ...
doi:10.1109/his.2012.6421319
dblp:conf/his/KulkarniK12
fatcat:22ozogudvvcvpbqyktgtaoqyt4
« Previous
Showing results 1 — 15 out of 14,540 results