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Image retrieval system based on color-complexity and color-spatial features

Yung-Kuan Chan, Chih-Ya Chen
2004 Journal of Systems and Software  
Experimental results show that the CVAAS and CVPWIS based image retrieval systems can provide a high accuracy rate for finding out the database images that satisfy the users' requirement.  ...  To characterize the color complexity of an image, this paper presents two image features -the color variances among adjacent segments (CVAAS) and the color variances of the pixels within an identical segment  ...  However, the FCH based image retrieval system cannot distinguish the color complexities of images.  ... 
doi:10.1016/s0164-1212(02)00140-1 fatcat:nqip6lodkbb77ebyohw3abnd7q

A Review on Image Retrieval Techniques

M.S. Meharban, Dr.S. Priya
2016 Bonfring International Journal of Advances in Image Processing  
Content Based Image Retrieval (CBIR) is one of the image retrieval techniques which use visual features of an image such as color, shape, and texture features etc.  ...  So in the present situation content based image retrieval is becoming necessary for exact and fast image retrieval.  ...  A User-Oriented Image Retrieval System Based on Interactive Genetic algorithm Color attributes like color moment. Edge histogram of an image is also considered as the texture features.  ... 
doi:10.9756/bijaip.8136 fatcat:xx7qitoxjfb4rnxuedxcbkcgim

Primitive Integration for Content based Image Retrieval

Riaz AhmedShaikh, Jian-Ping Li, Asif Khan
2015 International Journal of Computer Applications  
based CBIR system.  ...  Texture, color, and shape always a considerable points for extract but need a proper algorithm and model as per image database complexity increase.  ...  [2] Region matching based technique was proposed to enhance the retrieval process. This method called SCF (color and spatial feature based image retrieval).  ... 
doi:10.5120/19822-1659 fatcat:6ocxnwtkyrhgvpi6xutney6c74

An image retrieval method based on spatial distribution of color

Lei Niu, Lin Ni, Yuan Miao
2006 Journal of Electronics (China)  
Color histogram-based image retrieval methods are simple and efficient but without considering the spatial distribution information of the color.  ...  To overcome the shortcoming of conventional color histogram-based image retrieval methods, an image retrieval method based on Radon Transform (RT) is proposed.  ...  In existing color-spatial feature based retrieval methods, the process of color feature exaction is usually very complex. In regard to Ref.  ... 
doi:10.1007/s11767-004-0093-3 fatcat:fc6ixnt4a5arzbnkgzcvozj4si

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.  ...  Most commonly images are retrieved based on visual features like color, shape and texture of an image.  ... 
doi:10.21474/ijar01/1154 fatcat:g5uztqsdjnd2joaakyqu2fruz4

Spatial Color Indexing: An Efficient and Robust Technique for Content-Based Image Retrieval

Alaoui
2009 Journal of Computer Science  
Previous researches have proved that the effectiveness of image retrieval increases when spatial feature of colors is included in image retrieval.  ...  describe the spatial information of colors. (2) Color Hybrid Entropy (CHE) witch introduce a description spatial on multiresolution images.  ...  Most of the systems are based on features that are semantically too primitive.  ... 
doi:10.3844/jcssp.2009.109.114 fatcat:go5smxjmvzfmvpxsyr35ph255y

Spatial Color Indexing: An Efficient and Robust Technique for Content-Based Image Retrieval

Alaoui
2009 Journal of Computer Science  
Previous researches have proved that the effectiveness of image retrieval increases when spatial feature of colors is included in image retrieval.  ...  describe the spatial information of colors. (2) Color Hybrid Entropy (CHE) witch introduce a description spatial on multiresolution images.  ...  Most of the systems are based on features that are semantically too primitive.  ... 
doi:10.3844/jcs.2009.109.114 fatcat:ch5xzi7t2vgglmbyvahsmdyfiy

A survey on cbir techniques and learning algorithm comparison

2016 International Journal of Latest Trends in Engineering and Technology  
Thus, an efficient algorithm of image retrieval based on color-correlogram for color feature extraction, wavelet transformation for extracting shape features and Gabor wavelet for texture feature extraction  ...  [8] present that CBIR uses visual image contents for example global features-color feature, shape feature, texture feature, and local features-spatial domain present to indicate and image index.  ... 
doi:10.21172/1.81.026 fatcat:jvw72a4pmjhmzogib5gqy7sgqm

Robust Pre-processing Technique Based on Saliency Detection for Content Based Image Retrieval Systems

Chesti Altaff Hussain, D.Venkata Rao, S.Aruna Masthani
2016 Procedia Computer Science  
The paper focuses on the content based image retrieval systems based on scale invariant feature transform and region segmentation.  ...  They concentrate on the region of interest. The paper aims at improving the performance of content based image retrieval using saliency detection approach.  ...  INTRODUCTION A computer system used to retrieve, browse and search images from large databases of digital images is known as Image retrieval system.  ... 
doi:10.1016/j.procs.2016.05.223 fatcat:wtjusefj4reavauf4mn3hy4vqu

Content-Based Image Retrieval Using Texture Color Shape and Region

Syed Hamad, Arif Iqbal, Saeeda Naz, Noor ul, Muhammad Imran, Bandar AlHaqbani
2016 International Journal of Advanced Computer Science and Applications  
In this paper we present a literature survey of the Content Based Image Retrieval (CBIR) techniques based on Texture, Color, Shape and Region.  ...  Images are represented by certain features to facilitate accurate retrieval of the required images. These features include Texture, Color, Shape and Region.  ...  This area of CBIR systems is a hot research area with huge potential for research and development of better image retrieval techniques.  ... 
doi:10.14569/ijacsa.2016.070156 fatcat:cbw54h5nezdhtc3rvrzrksqvku

CBIR System using Color Moment and Color Auto-Correlogram with Block Truncation Coding

Vandana Vinayak, Sonika Jindal
2017 International Journal of Computer Applications  
In content-based Image Retrieval (CBIR) application, a large amount of data is processed.  ...  Among various low-level features like color, shape and texture, color is an important feature and represented in the form of histogram.  ...  Color moments have been successfully used in content based image retrieval systems.  ... 
doi:10.5120/ijca2017913282 fatcat:trzjncpv2rggdfswkzj4hcrw2m

A REVIEW ON MULTIQUERY SYSTEM FOR CONTENT BASED IMAGE RETRIEVAL

Meenu Meenu, Sonika Jindal
2016 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
In this thesis, a content-based image retrieval system is presented that computes texture and color similarity among images.  ...  To speed up retrieval and similarity computation, the database images are analysed and the extracted regions are clustered according to their feature vectors.  ...  The most common retrieval systems are Text Based Image Retrieval (TBIR) systems, where the search is based on automatic or manual annotation of images.  ... 
doi:10.24297/ijct.v15i13.4800 fatcat:6npswrvbwvbybbfblhhmiscgra

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  
This system uses a simple Graphic User Interface (GUI) in natural language and applies the classification approach both on the mosaics images database and on user queries, to limit images classes in the  ...  Experimental results are based on queries of various complexities which yielded a system's recall and precision rates of 86.6% and 87.1%, respectively, while the classification approach gives an average  ...  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

Content based image retrival using invariant color and texture features
IJARCCE - Computer and Communication Engineering

K.CHAITANYA SRUTHI, SHAIK.PEER AHAMED
2014 IJARCCE  
This project we are proposes an image retrieval method based on color-feature and texture-feature similarity score. Many methods can be used to describe color feature.  ...  Content Based Image Retrieval (CBIR) techniques appeared in 1990s.  ...  Content Based Image Retrieval (CBIR) is the retrieval of images based on their visual features such as colour, texture, and shape.  ... 
doi:10.17148/ijarcce.2014.31242 fatcat:vj4ncyprxzeghj353mmywyfwtq

AMALGAMATION OF CONTOUR, TEXTURE, COLOR, EDGE, AND SPATIAL FEATURES FOR EFFICACIOUS IMAGE RETRIEVAL

Anju Maria .
2014 International Journal of Research in Engineering and Technology  
However most of them are based on a particular feature extraction like texture based recovery, color based retrieval system etc.  ...  Here in this paper we put forward a novel technique for image recovery based on the integration of contour, texture, color, edge, and spatial features.  ...  CONCLUSIONS In this paper, an efficient image retrieval system based on contourlet, texture, spatial, edge , and color features were proposed.  ... 
doi:10.15623/ijret.2014.0302120 fatcat:a66otad3xfdntg5ussmqqqsyem
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