Filters








13,001 Hits in 8.1 sec

The Metric Histogram: A New and Efficient Approach for Content-Based Image Retrieval [chapter]

Agma J. M. Traina, Caetano Traina, Josiane M. Bueno, Paulo M. Azevedo-Marques
2002 Visual and Multimedia Information Management  
This paper presents the metric histogram, a new and efficient technique to capture the brightness feature of images, allowing faster retrieval of images based on their content.  ...  A new metric distance function DM( ) to measure the dissimilarity between images through their metric histograms is also presented.  ...  Many work has been done in the field of content-based image retrieval aiming to speed up such comparisons [24] [21], as well as proposing new techniques for image comparison, using color histograms  ... 
doi:10.1007/978-0-387-35592-4_21 fatcat:vwtdnt6q35a7haf2fcco52hphe

Efficient CBIR Using Color Histogram Processing

S Neetu Sharma, S Paresh Rawat, S Jaikaran Singh
2011 Signal & Image Processing An International Journal  
The need for efficient content-based image retrieval system has increased hugely.  ...  Efficient and effective retrieval techniques of images are desired because of the explosive growth of digital images. content based image retrieval (CBIR) is a promising approach because of its automatic  ...  There are two approaches to image retrieval: Text-Based approach and Content-Based approach Today, the most common way of doing this is by textual descriptions and categorizing of images.  ... 
doi:10.5121/sipij.2011.2108 fatcat:sekset64sjgqvksupzd6hawnfa

Content-based image retrieval using Mix histogram [article]

Mohammad Rezaei, Ali Ahmadi, Navid Naderi
2019 arXiv   pre-print
This paper presents a new method to extract image low-level features, namely mix histogram (MH), for content-based image retrieval.  ...  Traditional color histograms merely focus on the global distribution of color in the image and therefore fail to extract other visual features.  ...  CONCLUSION In this paper, we present a new method to extract image low-level features, namely mix histogram (MH), for content-based image retrieval.  ... 
arXiv:1909.09722v1 fatcat:pdlsl2r5dnei7j2sgjcy7pn6b4

HPCIR: Histogram positional centroid for image retrieval

T N Sadan Kumar, A Sreenivasa Murthy, N Rajani
2016 2016 IEEE Industrial Electronics and Applications Conference (IEACon)  
The Histogram Positional Centroid for Image Retrieval uses three feature vectors, namely histogram feature, positional centroid of each bin feature and average colour of each bin feature, for retrieval  ...  Content Based Image Retrival has wide application in the field of communication via internet.  ...  INTRODUCTION Content Based Image Retrieval is a system in which images are described by color, texture and shape.  ... 
doi:10.1109/ieacon.2016.8067388 fatcat:mxdxyqtonjdcbcwx23qu4px5y4

Adaptive color histogram indexing

Vincent T. Y. Ng, David W. Cheung, Ada W. C. Fu, C.-C. Jay Kuo
1995 Digital Image Storage and Archiving Systems  
In this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there are objects which are clinically important amongst the rest.  ...  To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments give promising results for image retrieval.  ...  Recently, content-based or feature-based methods have been proposed to provide efficient retrieval of images. Image access is done through a high-level abstraction of the image properties.  ... 
doi:10.1117/12.227243 fatcat:jjhb6rnecjghvmcznjwct3jtsa

Image retrieval based on multi-texton histogram

Guang-Hai Liu, Lei Zhang, Ying-Kun Hou, Zuo-Yong Li, Jing-Yu Yang
2010 Pattern Recognition  
This paper presents a novel image feature representation method, called multi-texton histogram (MTH), for image retrieval.  ...  The proposed MTH method is based on Julesz's textons theory, and it works directly on natural images as a shape descriptor.  ...  The authors would like to thank the anonymous reviewers for their constructive comments.  ... 
doi:10.1016/j.patcog.2010.02.012 fatcat:nvhwtlmhobcqbb7rardvmar6si

Quantization of color histograms using GLA

Christopher C. Yang, Milo K. Yip, LiWei Zhou, Chung-Sheng Li, Yoshiji Suzuki
2002 Electronic Imaging and Multimedia Technology III  
Color histogram has been used as one of the most important image descriptor in a wide range of content-based image retrieval (CBIR) projects for color image indexing.  ...  As a result, it reduces the effectiveness of the color histogram and hence reduces the retrieval performance. The second approach uses arbitrarily quantization.  ...  CONCLUSION Color histogram is a popular technique to represent the chromatic feature of color images for content-based image retrieval.  ... 
doi:10.1117/12.481607 fatcat:dr77mck7gbb2hhgxbmvfvnxjke

Content based Image Retrieval using Histogram, Color and Edge

Poulami Haldar, Joydeep Mukherjee
2012 International Journal of Computer Applications  
Content Based Image Retrieval (CBIR) is a process to retrieve a stored image from database by supplying an image as query instead of text.  ...  Here we have implemented a method of image retrieval using the histogram, color and edge detection features.  ...  And for this efficient storage, access and retrieval the content based retrieval need to be developed in proper manner with its necessary attention.  ... 
doi:10.5120/7393-0366 fatcat:odtv46ig4bgabj44v2nexvnjau

Image Representation Using Stacked Colour Histogram

Ezekiel Mensah Martey, Hang Lei, Xiaoyu Li, Obed Appiah
2021 Algorithms  
Image representation plays a vital role in the realisation of Content-Based Image Retrieval (CBIR) system.  ...  The representation is performed because pixel-by-pixel matching for image retrieval is impracticable as a result of the rigid nature of such an approach.  ...  Introduction The success of the Content-Based Image Retrieval (CBIR) system hinges mainly on the efficacy of the descriptors used to represent images.  ... 
doi:10.3390/a14080228 fatcat:56orsnypgrefpejgh2pw32rqtu

CBIR using Simplified Wavelet-Based Color Histogram

Sarita Negi, Smita Singh, Neelam Panwar
2017 International Journal of Image and Signal Systems Engineering  
Content Based Image Retrieval System (CBIR) is the technique which enhances the advance image graphics technology by taking image content to seek images from bulky image databases.  ...  We have followed the image retrieval technique, as described in the Simplified Wavelet-Based Color Histogram (SWBCH).  ...  Experimental result The experimental results are dependent on the algorithm used for retrieval of the image using content based.  ... 
doi:10.21742/ijisse.2017.1.2.01 fatcat:mmbjtkpblzbzffvvkcxrpvihbi

Video Retrieval using Histogram and Sift Combined with Graph-based Image Segmentation

Ahmad
2012 Journal of Computer Science  
, choosing feature.In this study we introduce a new approach for this problem based on Scale-Invariant Feature Transform (SIFT) feature, a new metric and an object retrieval method.  ...  Conclusion/Recommendations: Our algorithm is built on a Content-Based Image Retrieval (CBIR) method in which the keyframe database includes keyframes detected from video database by using our shot detection  ...  A new metric: To applying the clustering algorithm and the matching process, we created a new metric on 128 R based on SIFT descriptor vectors' characteristic.  ... 
doi:10.3844/jcssp.2012.853.858 fatcat:sgde7b3a7jaufhriumut6uarei

Applying Distance Histogram to retrieve 3D cardiac medical models

Leila C C Bergamasco, Fátima L S Nunes
2013 AMIA Annual Symposium Proceedings  
MRI (Magnetic Resonance Imaging) is a non-invasive technique to detect anomalies from internal images of the human body that generates hundreds of images, which takes long for the specialist to analyze  ...  Our aim is to apply a shape descriptor to retrieve three-dimensional cardiac models, obtained from a set of 2D slices, which were segmented and reconstructed from MRI images using their geometry information  ...  Introduction Content-based Image Retrieval (CBIR) uses information from the content of a given image as a query to provide the user the most similar images contained in a database.  ... 
pmid:24551326 pmcid:PMC3900133 fatcat:wk7o6jwtazej3kbaodevjl2no4

Content based image retrieval using color histogram

Nitin Jain
2016 International Journal of Latest Trends in Engineering and Technology  
The purpose of  ...  CBIR or Content Based Image Retrieval is the retrieval of images based on visual features such as color, texture and shape.  ...  Swain and Ballard proposed histogram intersection, an L1 metric as the similarity measure for color histogram.  ... 
doi:10.21172/163/1 fatcat:symlmfx63zfwlg7g6ty6vqjsoe

Robust histogram-based image retrieval

Cyril Höschl IV, Jan Flusser
2016 Pattern Recognition Letters  
We present a histogram-based image retrieval method which is designed specifically for noisy query images. The images are retrieved according to histogram similarity.  ...  The advantage of the new method is proved theoretically and demonstrated experimentally on real data.  ...  Acknowledgment This work has been supported by the Grant no. GA15-16928S of the Czech Science Foundation.  ... 
doi:10.1016/j.patrec.2015.10.012 fatcat:ypta6m7rkrdvfkifefwhdro5nu

Image Matching Using the OBIR System with Feature Point Histograms [chapter]

Y. Tao, W. I. Grosky
1998 Visual Database Systems 4 (VDB4)  
This paper presents an image retrieval system called OBIR (Object-Based Image Retrieval). We discuss this and a new histogram-based approach to indexing spatial arrangements of features.  ...  Based on some preliminary experiments, we demonstrate the effectiveness and efficiency of our system.  ...  Section 3 describes our new histogram-based approach to indexing spatial arrangements of features. The effectiveness and efficiency of our system are shown by an experiment reported in Section 4.  ... 
doi:10.1007/978-0-387-35372-2_16 fatcat:lugefvss3ber7gtblncyzhg6c4
« Previous Showing results 1 — 15 out of 13,001 results