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A Survey On: "Content Based Image Retrieval Systems"
2010
International Journal of Computer Applications
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It also introduced the feature like neuro fuzzy technique, color histogram, texture and edge density for accurate and effective Content Based Image Retrieval System. ...
In this paper the techniques of content based image retrieval are discussed, analysed and compared. ...
Existing techniques for image retrieval based on fuzzy logic and natural language query is a novel approach based on natural language fuzzy logic queries, fuzzy mapping of image database and fuzzy similarity ...
doi:10.5120/802-1139
fatcat:cyu3m23jevbshfr3rvqzm5w75u
A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System
2012
International Journal of Computer Applications
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Color-texture based image retrieval methods with use of neuro-fuzzy system were shown in figure 2 . ...
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
Review of Content Based Image Retrieval Systems
English
2015
International Journal of Engineering Trends and Technoloy
English
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Keywords-review, content based image retrieval, visual features, relevance feedback, fuzzy logic I. ...
We study the components of a conventional system. A review of a relevance feedback system and a fuzzy logic system is presented. The query performance of each technique is studied. ...
For future work, a fuzzy relevance feedback using both color and texture feature can be studied. ISSN: 2231-5381 http://www.ijettjournal.org Page 179 Fig.1Model of Content based image retrieval ...
doi:10.14445/22315381/ijett-v19p231
fatcat:fb3cbfgnvzf2lgwcblu47b6wdy
SURVEY ON CONTENT BASED IMAGE RETRIEVAL TECHNIQUES
2014
International Journal of Research in Engineering and Technology
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Because of this, the content based image retrieval is becoming a new and fast method of information retrieval. ...
Content based image retrieval is the method of retrieving the data particularly images from a wide collection of databases. The retrieval is done by using features. ...
ACKNOWLEDGEMENTS The authors would like to thank the students and staff of computer vision and image processing department of Amrita Vishwa vidyapeetham for their valuable guidance, sincere support and ...
doi:10.15623/ijret.2014.0319135
fatcat:zsxvqptjuvfntmd5sqhfujlpuy
Aggregation of color and shape features for hybrid query generation in content based visual information retrieval
2005
Signal Processing
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A fuzzy approach for the aggregation of multiple features in content-based image retrieval is outlined. ...
Color, shape and spatial features extracted using both computational and manual segmentation techniques are used for subsequent generation of hybrid queries to a ground truth image database consisting ...
Since content-based image retrieval systems typically seek to find images which are similar to a query rather than exactly the same, using a logical AND operation that requires high similarity in all descriptors ...
doi:10.1016/j.sigpro.2004.10.005
fatcat:tkmllzkd6zdazp7lodjsf7jndq
Efficient Image Retrieval Based on Fuzzy Color Feature Extraction
2015
IJARCCE
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Retrieval of images based on visual features such as color, texture and shape have proven to have its own set of limitations under different conditions. ...
This paper experiments various methods available for Content based image retrieval System, they are precision, recall and accuracy value for Bag of Visual words, Color and Edge Directive Descriptors, Fuzzy ...
PROPOSED APPROACH Content-based image retrieval, also known as query by image content and content-based visual information retrieval is the application of computer vision to the image retrieval problem ...
doi:10.17148/ijarcce.2015.49121
fatcat:nk3erf5g2nghrklemn7acsd4zu
Observations on Using Type-2 Fuzzy Logic for Reducing Semantic Gap in Content–Based Image Retrieval System
2014
Journal of clean energy technologies
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Index Terms-Type-2 fuzzy logic, semantic-based image retrieval, soft computing, image processing. ...
A comparative study with the state-of-the-art type-1 fuzzy based image retrieval approaches reveals the effectiveness of the proposed system. ...
Some authors proposed a methodology for semantic indexing and retrieval of images based on techniques of image segmentation and fuzzy reasoning. ...
doi:10.7763/ijcte.2015.v7.921
fatcat:j2v2n46rrvf7bfe6agvbvhbm6y
A Novel Approach of Color-Texture based CBIR Using Fuzzy Logic
2014
International Journal of Database Theory and Application
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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. ...
The performance of the system is evaluated on the most common evaluation method namely Precision and Recall method. ...
Acknowledgements The work done by Nikhil Chaturvedi, Saurabh Agarwal and Punit Kumar Johari is supported by Department of CSE & IT, M.I.T.S., Gwalior, India. ...
doi:10.14257/ijdta.2014.7.4.07
fatcat:4g5xpfvgafgrra2qvxcmvkfnqi
A Novel Elimination-Based A* Approach to Image Retrieval
2009
2009 Fourth International Conference on Computer Sciences and Convergence Information Technology
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This scheme include: a new indexing method based on fuzzy logic to incorporate color,texture, and shape information into a region based approach to improving the retrieval effectiveness and robustness, ...
In this paper,we present methodology to Content Based Image Retrieval (CBIR),focusing on developing an efficient image retrieval methodology. ...
Berkeley Blobworld [3] and UCSB NeTra [4] compare images based on individual regions.Chen and Wang [5] proposed an improved approach based on applying fuzzy logic to the different region features to ...
doi:10.1109/iccit.2009.131
fatcat:py2qzrxnorcrrekack6uf3pox4
Efficient fuzzy color and texture feature extraction technique for content based image retrieval system
2014
2014 IEEE International Conference on Computational Intelligence and Computing Research
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This paper proposes Color and Edge Directivity Descriptor (CEDD) feature extraction technique which extract the matching image based on the similarity of color and edge of an image in the database. ...
The development of multimedia technology in Content Based Image Retrieval (CBIR) System is one of the prominent area to retrieve the images from a large collection of database. ...
CBIR systems are based on many and efficient for image indexing and retrieval. features such as texture, color and shape and edge In many potential multimedia applications, Content information. ...
doi:10.1109/iccic.2014.7238474
fatcat:tlduv5wpnzdiro5cklbd647aea
An Intelligent mutli-object retrieval system for historical mosaics
2013
International Journal of Advanced Computer Science and Applications
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We use the fuzzy logic techniques and semantic similarity measure to extract knowledge from the images for multi-object indexing. ...
Secondly, to present a fuzzy color quantization approach using the human perceptual HSV color space and finally, to classify semantically the mosaics images using a semantic similarity measure. ...
Nevertheless, a few multi-objects based image indexing and retrieval systems have been developed [18] [19] [20] . ...
doi:10.14569/ijacsa.2013.040417
fatcat:2rlmakwyobaxlojnztfvjrc3ru
Special Issue on Fuzzy Logic for Image Processing
2017
Information
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In particular, techniques suitable for analysis, indexing and the retrieval of image data are of fundamental importance today. ...
The present Special Issue on Fuzzy Logic for Image Processing is intended to show the potential and the practical impacts of fuzzy logic techniques in challenging applications involving tasks required ...
Acknowledgments: The guest editors Laura Caponetti and Giovanna Castellano would like to thank the authors for their contributions, the reviewers for their effort in reviewing the manuscripts in producing ...
doi:10.3390/info9010003
fatcat:wdyprgv6wrczdjhe5yfsur6ylm
Sequential processing for content-based retrieval of composite objects
1997
Storage and Retrieval for Image and Video Databases VI
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A content-based composite object query is satis ed by e v aluating a program of content-based rules i.e., color, texture, spatial and temporal rules i.e., east, west, fuzzy conjunctions i.e., appears similar ...
It is becoming increasingly important for multimedia databases to provide capabilities for content-based retrieval of composite objects. ...
Interior design: retrieve all images of patterned carpets which consist of a speci c spatial arrangement of color and texture primitives. ...
doi:10.1117/12.298434
dblp:conf/spieSR/LiSBC98
fatcat:yfcwglnnxbeztf4bf7r6g4wjvu
Feature Based Comparison of Text Based Image Retrieval and Context Based Image Retrieval Images
2018
Asian Journal of Engineering and Applied Technology
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Customarily, there are two techniques i.e. text based image retrieval and content based image retrieval that are used for retrieving the image according to features and providing color to all pixel pairs ...
Two techniques- one is color correlogram (for color indexing) and another is wavelet transform (for texture processing) has also been introduced. ...
Fuzzy logic computes the attributes and features of the image using the rules. ...
doi:10.51983/ajeat-2018.7.2.965
fatcat:wphzhz6vuvgsfgng3jxru7lngu
Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously
2003
Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval - MIR '03
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Specifically, the contributions of FAST methodology to the CBIR literature include: (1) development of a new indexing method based on fuzzy logic to incorporate color, texture, and shape information into ...
a region based approach to improving the retrieval effectiveness and robustness (2) development of a new hierarchical indexing structure and the corresponding Hierarchical, Elimination-based A* Retrieval ...
In each segmented region, we apply fuzzy logic to define the color, texture, and shape features, respectively. ...
doi:10.1145/973264.973276
dblp:conf/mir/ZhangZ03
fatcat:cuyozfrayrhutgquhlfe5ecfuy
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