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A Survey On: "Content Based Image Retrieval Systems"

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

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

Saurav Seth, Prashant Upadhyay, Ruchit Shroff, Rupali Komatwar
2015 International Journal of Engineering Trends and Technoloy  
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 Page 179 Fig.1Model of Content based image retrieval  ... 
doi:10.14445/22315381/ijett-v19p231 fatcat:fb3cbfgnvzf2lgwcblu47b6wdy


Aiswarya.V .
2014 International Journal of Research in Engineering and Technology  
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

P. Androutsos, A. Kushki, K.N. Plataniotis, A.N. Venetsanopoulos
2005 Signal Processing  
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

Mrs. Rathika S., Mr.Vijayakumar P.
2015 IJARCCE  
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

Saad M. Darwish, Raad A. Ali
2014 Journal of clean energy technologies  
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

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.  ...  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

Wei Liu, Wenhui Li
2009 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology  
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

K. Jayanthi, M. Karthikeyan
2014 2014 IEEE International Conference on Computational Intelligence and Computing Research  
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

Wafa Maghrebi, Anis B., Adel M., Mohamed A.
2013 International Journal of Advanced Computer Science and Applications  
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

Laura Caponetti, Giovanna Castellano
2017 Information  
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

Chung-Sheng Li, John R. Smith, Lawrence D. Bergman, Vittorio Castelli, Ishwar K. Sethi, Ramesh C. Jain
1997 Storage and Retrieval for Image and Video Databases VI  
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

Gagandeep Kaur, Rajeev Kumar Dang
2018 Asian Journal of Engineering and Applied Technology  
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

Ruofei Zhang, Zhongfei (Mark) Zhang
2003 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval - MIR '03  
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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