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A Comparative Evaluation of Feature Extraction and Similarity Measurement Methods for Content-based Image Retrieval

S.M. Mohidul Islam, Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh, Rameswar Debnath
2020 International Journal of Image Graphics and Signal Processing  
From experimental results, we found that color moment and wavelet packet entropy features are most effective whereas color autocorrelogram, wavelet moment, and invariant moment features show narrow result  ...  A feature vector is created after color and/or texture and/or shape features extraction. Then similar images are retrieved using different similarity measures.  ...  As an example of retrieved result, Fig. 1 shows the retrieved images for using color moment, wavelet energy, and invariant moment features together for correlation similarity measure.  ... 
doi:10.5815/ijigsp.2020.06.03 fatcat:kvzvv7epnrax5o6rwxk2yileiy

A new content-based image retrieval technique using color and texture information

Xiang-Yang Wang, Hong-Ying Yang, Dong-Ming Li
2013 Computers & electrical engineering  
Firstly, the image is transformed from RGB space to opponent chromaticity space, and the characteristics of the color contents of an image is captured by using Zernike chromaticity distribution moments  ...  In this paper, we propose a new content-based image retrieval technique using color and texture information, which achieves higher retrieval efficiency.  ...  In our image retrieval, the Zernike chromaticity distribution moments are use to capture the color content, and the rotation-scale invariant image descriptor in Contourlet domain are extracted to capture  ... 
doi:10.1016/j.compeleceng.2013.01.005 fatcat:kx54eer5arautde5jewh7dzely

An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features [article]

Atif Nazir, Kashif Nazir
2018 arXiv   pre-print
We selected color moments and color histogram to represent color while shape is represented by using invariant moments.  ...  The commonly used visual features are image spatial layout, color, texture and shape.  ...  Fig 12 . 12 Image retrieval result for the class " Football". Table 1 . 1 Comparison of precision using invariant moments, color histogram, color moments and proposed method.  ... 
arXiv:1811.12695v1 fatcat:kunz7bktbbdtxmx37ad545vscu

A comparative analysis of various approaches used for feature extraction in content based image retrieval

Vanita Rani, Er.Sumeet Kaur
2016 International Journal of Advanced Research  
[8] Shape feature extraction:-Content based image retrieval (CBIR) systems based on shape using moment invariant and zernike moment.  ...  Moment invariants (MI):- MI is poor in the representation of image shape due to its non-orthogonality. [10] Moment invariants (MI) are also called geometric moment invariants.  ... 
doi:10.21474/ijar01/1154 fatcat:g5uztqsdjnd2joaakyqu2fruz4

An Effective Image Retrieval Method Based on Multi-features

Lang Sun, Yan Tang, Hong Zhang
2014 Journal of Software  
Perform the marked-watershed to achieve the segmentation of the image, and then extract Jan Flusser invariant moments. Gaussian model is applied to normalize the different subcharacters distance.  ...  To improve the accuracy of image retrieval methods, an effective image retrieval method based on multifeatures is proposed.  ...  Jan Flusser invariant moments, The Gaussian model is used to normalize the different subcharacters distance.  ... 
doi:10.4304/jsw.9.4.931-937 fatcat:lvqq2hioanh3rfpnvti63hwv7u

FEATURE BASED IMAGE RETRIEVAL USING CLASSIFICATION AND RELEVANCE FEEDBACK TECHNIQUE

2015 International Journal of Advance Engineering and Research Development  
Gabor filter will be use for texture feature extraction and shape feature will be extract using moment invariant method.  ...  Feature Based Image Retrieval is a very important research area in the field of image processing.  ...  For region based image retrieval dominant color technique is used or color feature extraction.  ... 
doi:10.21090/ijaerd.0205175 fatcat:xorjkfh62fab7k4gzttxfisz4e

Image Information Retrieval From Incomplete Queries Using Color and Shape Features

Bikesh Kumar Singh
2011 Signal & Image Processing An International Journal  
Color (hue, saturation and value (HSV) color space model) and shape (moment invariants and Fourier descriptor) features are used to represent the image.  ...  Content based image retrieval (CBIR) is the task of searching digital images from a large database based on the extraction of features, such as color, texture and shape of the image.  ...  Hu's moment invariants and extended Zernike moments were used as feature extractors.  ... 
doi:10.5121/sipij.2011.2418 fatcat:lyg73kwlxzba7n7476dnva7w34

Descriptor Trends in Texture Classification for Material Recognition

Hayder Ayad, Mohammed Hasan Abdulameer, Loay E. George, Nidaa F. Hassan
2015 Research Journal of Applied Sciences Engineering and Technology  
Content-based image retrieval is considered an extremely challenging issue and has remained an open research area.  ...  Recent rapid growth in the demand for technology and image investigation in many applications, such as image retrieval systems and Visual Object Categorization (VOC), effective management of these applications  ...  Color moment is also widely used in image retrieval systems; it gives a better performance with CIE L*a*b* color space and CIE L*u*v* than the other color spaces because using the third stage of color  ... 
doi:10.19026/rjaset.10.1878 fatcat:t5otsiofs5ee7b2whaofus6gu4

The Image Retrieval Object Ganesha Image using Invariant Moment Method

Hendro Nugroho, Eka Prakarsa Mandyartha
2018 Kursor  
From the Ganesha Statue is searched for feature extraction value by using Moment Invariant method, after which to get the result of image retrieval using Manhattan method.  ...  Image Retrieval information system work is image of Ganesa Arca in pre-processing with size 200x260 pixel BMP, then image in edge detection using Roberts method and extraction of Moment Invariant feature  ...  IMAGE RETRIEVAL USING INVARIANT MOMENT This section explains about Image Retrieval, Edge Detection, Moment Invariant definitions and Manhattan distance calculations.  ... 
doi:10.28961/kursor.v9i2.98 fatcat:rcac62uwdjc6xh4snlsoo343ea

Content based Trademark Retrieval by Integrating Shape with Colour and Texture Information

Akriti Nigam, Arpit Kumar Garg, R.C. Tripathi
2011 International Journal of Computer Applications  
A flexible combination of features is used for improving performance and clustering is applied to the database to enhance retrieval efficiency. General Terms Trademark, Content Based Image Retrieval.  ...  In a content based retrieval system, shape is easily the most important feature for the trademark image. Using shape feature various systems have been developed in the past.  ...  Before Calculating Zernike Moments, image is normalized using Cartesian Moments which will help in achieving scale invariance in scale and translation.  ... 
doi:10.5120/2592-3600 fatcat:ns4e4xw2p5b73my4zd55wdsrvm

Combination of Dominant Color Descriptor and Hu Moments in Consistent Zone for Content Based Image Retrieval

Guangyi Xie, Baolong Guo, Zhe Huang, Yan Zheng, Yunyi Yan
2020 IEEE Access  
Finally, the combination of the dominant dolor descriptor and the Hu moments is used for content-based image retrieval.  ...  The rapidly increasing number of digital images requires effective retrieval. Meanwhile, the dominant color descriptor has been widely used in image processing.  ...  A new method is proposed in this paper which combines the advantages of color and shape for image retrieval using the features of both DCD and Hu moments (DCD-HM).  ... 
doi:10.1109/access.2020.3015285 fatcat:47eiy2kba5ghlih25urtt3iwwe

An analysis of content-based image retrieval

Hakan KOYUNCU, Manish DİXİT, Baki KOYUNCU
2021 International Advanced Researches and Engineering Journal  
This study mainly focuses on content-based image retrieval; which uses image features like color, shape, texture, etc. by searching the user query image from a large image database based on user request  ...  CBIR is the most widely used technique as its searching capability is faster than the other traditional methods, and it works well in retrieving images automatically.  ...  The invariant moment is used to change the light and camera direction, and it is an appropriate method for image retrieval.  ... 
doi:10.35860/iarej.811927 fatcat:jkljdjgipjeltfzd4rqu46fyri

Retrieval of Images using Combination of Features as Color, Color Moments and Hu Moments

RAJKUMAR RAJ, Dr. M V Sudhamani
2019 Advances In Image and Video Processing  
In this proposed work, the features like color with HSV color space, color moments and Hu moments are employed to retrieve similar images.  ...  In today's digital era, several of the image retrieval systems focus on retrieving images using features from images themselves such as color, shape and textures and are referred as low-level features.  ...  In [10] , retrieval systems use color moment, local binary patterns and edge features to obtain similar images by using Manhattan similarity metric.  ... 
doi:10.14738/aivp.75.7208 fatcat:bcx7iui3fbfgfknweeac2h3y3a

Color pattern diffusion : Verification for wide baseline matching

Liu Xinhai, Xu Wangming, Fang Kangling, Wu Jin
2008 2008 IEEE Conference on Cybernetics and Intelligent Systems  
Finally, if the matching similarity of above color moments keeps invariant with color pattern diffusion in image space, the two interest points is taken as a real corresponding pair.  ...  Firstly, HSI Color moments in the original region where two corresponding SIFT feature points are detected are extracted from both the query image and the database image and then matched with each other  ...  Generalized Color moments in HSI color space The original color space of common image is RGB space.  ... 
doi:10.1109/iccis.2008.4670904 fatcat:3vq23pokbfau7gw4pgvwstkxki

Content based Image Retrieval using Global Correlation Vector and Zernike Moments

P. Dhananjaya, G. Suresh, N. V. Lalitha
2016 Indian Journal of Science and Technology  
Due to rotation invariance and fast computation Zernike Moments are suitable for image retrieval.  ...  Content Based Image Retrieval (CBIR) using color and shape features is discussed in this paper.  ...  Feature moments have applications in medical image retrieval, trademark image retrieval and shape based image retrieval.  ... 
doi:10.17485/ijst/2016/v9is1/107922 fatcat:om6cxd222nd55f2tb7v6ewapxe
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