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Title: :  Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval
PaperId: :  4912
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4912
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ruchi KapadiaL J Institute of Engineering and Technology
Mr.Swarndeep Saket J L J Institute of Engineering and Technology

Abstract

Image Processing
CBIR, Support Vector Machine, Feature Extraction, Precision, Recall, Similarity measure, Ant colony Optimization.
Content Based Image Retrieval (CBIR) is a very important and increasingly popular approach that helps in the retrieval of image data from a huge collection of Image. Image representation based on certain features helps in retrieval process. Content-based image retrieval technique is in huge demand for few domains like Weather forecasting, data mining, remote sensing, medical imaging, education, crime prevention and management of earth resources. Content Based Image Retrieval (CBIR) is process to find similar image data in the large amount of image database when a query image is given by user. A user gives input to the system in the form of specified query image and system return set of relevant images related to query image. In this report we analyze different Content Based Image Retrieval techniques and their comparative study. Image retrieval process and improve visual similarity search in content-based image retrieval many studies have been conducted and many methods developed in recent years, but there are a few issues that need to be addressed. Color, shape and texture feature are extracted from the image. To improve accuracy in terms of Precision and Recall, Ant colony Optimization (ACO) algorithm and Support Vector Machine (SVM) method is used in proposed model.

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IJARIIE Ruchi Kapadia, and Mr.Swarndeep Saket J . "Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 5695-5702
MLA Ruchi Kapadia, and Mr.Swarndeep Saket J . "Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 5695-5702.
APA Ruchi Kapadia, & Mr.Swarndeep Saket J . (2017). Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 5695-5702.
Chicago Ruchi Kapadia, and Mr.Swarndeep Saket J . "Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 5695-5702.
Oxford Ruchi Kapadia, and Mr.Swarndeep Saket J . 'Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 5695-5702. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Hybrid_Approach_For_Effective_Feature_Extraction_Technique_in_Content_Based_Image_Retrieval_ijariie4912.pdf (Accessed : ).
Harvard Ruchi Kapadia, and Mr.Swarndeep Saket J . (2017) 'Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 5695-5702IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Hybrid_Approach_For_Effective_Feature_Extraction_Technique_in_Content_Based_Image_Retrieval_ijariie4912.pdf (Accessed : )
IEEE Ruchi Kapadia, and Mr.Swarndeep Saket J , "Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 5695-5702, Mar-App 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/Hybrid_Approach_For_Effective_Feature_Extraction_Technique_in_Content_Based_Image_Retrieval_ijariie4912.pdf [Accessed : ].
Turabian Ruchi Kapadia, and Mr.Swarndeep Saket J . "Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 ().
Vancouver Ruchi Kapadia, and Mr.Swarndeep Saket J . Hybrid Approach For Effective Feature Extraction Technique in Content Based Image Retrieval. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(2) : 5695-5702. Available from: https://ijariie.com/AdminUploadPdf/Hybrid_Approach_For_Effective_Feature_Extraction_Technique_in_Content_Based_Image_Retrieval_ijariie4912.pdf
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