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A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System

S. Manoharan, S. Sathappan
2012 International Journal of Computer Applications  
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"

Nidhi Singhai, Shishir K. Shandilya
2010 International Journal of Computer Applications  
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

Nikhil Chaturvedi, Saurabh Agarwal, Punit Kumar Johari
2014 International Journal of Database Theory and Application  
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

G. Castellano, C. Castiello, A. M. Fanelli
2006 NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society  
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

Ranisha Fernando, Siddhivinayak Kulkarni
2012 The 2012 International Joint Conference on Neural Networks (IJCNN)  
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

Faiez Musa Lahmood Alrufaye, Mohammed Muanis I. Al-Sagheer, Marwah Thamer Ali
2019 Journal of Southwest Jiaotong University  
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

Saurav Seth, Prashant Upadhyay, Ruchit Shroff, Rupali Komatwar
2015 International Journal of Engineering Trends and Technoloy  
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

Ms.N.N. Deepika, Dr. R. Madhumitha
2017 International Journal Of Engineering And Computer Science  
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

ZHI-QIANG LIU, JOANNE PING SUN
1997 Journal of Visual Languages and Computing  
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

B. Verma, S. Kulkarni
2004 Applied Soft Computing  
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

Suchismita Das
2012 The International Journal of Multimedia & Its Applications  
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

Jaykrishna Joshi, Dattatray Bade, Kashyap Joshi
2015 International Journal of Engineering Trends and Technoloy  
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

Sitalakshmi Venkatraman, Siddhivinayak Kulkarni
2012 2012 12th International Conference on Hybrid Intelligent Systems (HIS)  
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

G.Asha Sowjanya
2016 International Journal Of Engineering And Computer Science  
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

Siddhivinayak Kulkarni, Pradnya Kulkarni
2012 2012 12th International Conference on Hybrid Intelligent Systems (HIS)  
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
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