A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Filters
The Metric Histogram: A New and Efficient Approach for Content-Based Image Retrieval
[chapter]
2002
Visual and Multimedia Information Management
Preserved Fulltext
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
2011
Signal & Image Processing An International Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2016
2016 IEEE Industrial Electronics and Applications Conference (IEACon)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
1995
Digital Image Storage and Archiving Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2010
Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2002
Electronic Imaging and Multimedia Technology III
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2012
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2021
Algorithms
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2017
International Journal of Image and Signal Systems Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2012
Journal of Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
, 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
2013
AMIA Annual Symposium Proceedings
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2016
International Journal of Latest Trends in Engineering and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2016
Pattern Recognition Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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]
1998
Visual Database Systems 4 (VDB4)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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