<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="de">
		<id>http://de.evo-art.org/index.php?action=history&amp;feed=atom&amp;title=Multi_Feature_Content_Based_Image_Retrieval</id>
		<title>Multi Feature Content Based Image Retrieval - Versionsgeschichte</title>
		<link rel="self" type="application/atom+xml" href="http://de.evo-art.org/index.php?action=history&amp;feed=atom&amp;title=Multi_Feature_Content_Based_Image_Retrieval"/>
		<link rel="alternate" type="text/html" href="http://de.evo-art.org/index.php?title=Multi_Feature_Content_Based_Image_Retrieval&amp;action=history"/>
		<updated>2026-05-03T11:00:43Z</updated>
		<subtitle>Versionsgeschichte dieser Seite in de_evolutionary_art_org</subtitle>
		<generator>MediaWiki 1.27.4</generator>

	<entry>
		<id>http://de.evo-art.org/index.php?title=Multi_Feature_Content_Based_Image_Retrieval&amp;diff=32731&amp;oldid=prev</id>
		<title>Gubachelier: Die Seite wurde neu angelegt: „  == Referenz ==  Rajshree S.Dubey, Rajnish Choubey and Joy Bhattacharjee: Multi Feature Content Based Image Retrieval. International Journal on Computer S…“</title>
		<link rel="alternate" type="text/html" href="http://de.evo-art.org/index.php?title=Multi_Feature_Content_Based_Image_Retrieval&amp;diff=32731&amp;oldid=prev"/>
				<updated>2016-06-16T21:21:20Z</updated>
		
		<summary type="html">&lt;p&gt;Die Seite wurde neu angelegt: „  == Referenz ==  Rajshree S.Dubey, Rajnish Choubey and Joy Bhattacharjee: &lt;a href=&quot;/index.php?title=Multi_Feature_Content_Based_Image_Retrieval&quot; title=&quot;Multi Feature Content Based Image Retrieval&quot;&gt;Multi Feature Content Based Image Retrieval&lt;/a&gt;. International Journal on Computer S…“&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Neue Seite&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
== Referenz == &lt;br /&gt;
Rajshree S.Dubey, Rajnish Choubey and Joy Bhattacharjee: [[Multi Feature Content Based Image Retrieval]]. International Journal on Computer Science and Engineering, Vol.2, No.6, pp.2145-2149, 2010&lt;br /&gt;
&lt;br /&gt;
== DOI ==&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
There are numbers of methods prevailing for Image&lt;br /&gt;
Mining Techniques. This Paper includes the features of four&lt;br /&gt;
techniques I,e Color Histogram, Color moment, Texture, and&lt;br /&gt;
Edge Histogram Descriptor. The nature of the Image is&lt;br /&gt;
basically based on the Human Perception of the Image. The&lt;br /&gt;
Machine interpretation of the Image is based on the&lt;br /&gt;
Contours and surfaces of the Images. The study of the Image&lt;br /&gt;
Mining is a very challenging task because it involves the&lt;br /&gt;
Pattern Recognition which is a very important tool for the&lt;br /&gt;
Machine Vision system. A combination of four feature&lt;br /&gt;
extraction methods namely color Histogram, Color Moment,&lt;br /&gt;
texture, and Edge Histogram Descriptor. There is a&lt;br /&gt;
provision to add new features in future for better retrieval&lt;br /&gt;
efficiency. In this paper the combination of the four&lt;br /&gt;
techniques are used and the Euclidian distances are&lt;br /&gt;
calculated of the every features are added and the averages&lt;br /&gt;
are made .The user interface is provided by the Mat lab.&lt;br /&gt;
The image properties analyzed in this work are by using&lt;br /&gt;
computer vision and image processing algorithms. For color&lt;br /&gt;
the histogram of images are computed, for texture co&lt;br /&gt;
occurrence matrix based entropy, energy, etc, are calculated&lt;br /&gt;
and for edge density it is Edge Histogram Descriptor (EHD)&lt;br /&gt;
that is found. For retrieval of images, the averages of the&lt;br /&gt;
four techniques are made and the resultant Image is&lt;br /&gt;
retrieved.&lt;br /&gt;
&lt;br /&gt;
== Extended Abstract ==&lt;br /&gt;
&lt;br /&gt;
== Bibtex == &lt;br /&gt;
 @article{&lt;br /&gt;
 author = {Rajshree S.Dubey, Rajnish Choubey and Joy Bhattacharjee},&lt;br /&gt;
 title = {Multi Feature Content Based Image Retrieval},&lt;br /&gt;
 journal = {International Journal on Computer Science and Engineering},&lt;br /&gt;
 volume = {2},&lt;br /&gt;
 number = {6},&lt;br /&gt;
 pages = {2145-2149},&lt;br /&gt;
 year = {2010},&lt;br /&gt;
 doi={},&lt;br /&gt;
 url={http://www.enggjournals.com/ijcse/doc/IJCSE10-02-06-83.pdf http://de.evo-art.org/index.php?title=Multi_Feature_Content_Based_Image_Retrieval},&lt;br /&gt;
 }&lt;br /&gt;
&lt;br /&gt;
== Used References == &lt;br /&gt;
[1] Michele Saad” Low Level Color and Texture Feature Extraction for&lt;br /&gt;
Content Based Image Retrieval” Final Project Report, EE 381K:&lt;br /&gt;
Multi-Dimensional Digital Signal Processing, May09&lt;br /&gt;
&lt;br /&gt;
[2] Rajshree S.Dubey, Niket Bhargava” A Survey on CBIR and Image&lt;br /&gt;
Mining Techniques for Effective Information Retrieval” Published in&lt;br /&gt;
International Journal of Advanced Engineering &amp;amp; Application, June&lt;br /&gt;
2010&lt;br /&gt;
&lt;br /&gt;
[3] S.Nandagopalan, Dr.B.S.Adiga, and N.Deepak” A Universal Model for&lt;br /&gt;
content based image Retrieval” Proceedings of world Academy of&lt;br /&gt;
Science, Engineering and Technology,36 December 2008,ISSn&lt;br /&gt;
2070-3740&lt;br /&gt;
&lt;br /&gt;
[4] Ritendra Datta , Dhiraj Joshi, Jiali, And James Z. Wang “ Image&lt;br /&gt;
Retrieval: Ideas, influences,, and Trends of the New Age “ACM&lt;br /&gt;
Transactions on Computing Surveys, Vol. 40, No. 2, April 2008&lt;br /&gt;
&lt;br /&gt;
[5] Mahmoud R. Hejazi , Yo-Sung Ho,” An efficient approach to texturebased&lt;br /&gt;
image retrieval” International Journal of Imaging Systems&lt;br /&gt;
and Technology Feb 2008 Volume 17 Issue 5, Pages 295 – 302&lt;br /&gt;
&lt;br /&gt;
[6] K.P.Ajitha Gladis , K.Ramar,”A Novel Method For Content Based&lt;br /&gt;
Image Retrieval Using the Approximation of Statistical Feature&lt;br /&gt;
,morphological Feature and BPN Network” IEEE Computer society&lt;br /&gt;
ICCIMA 2007,Vol.148,PP.179-184&lt;br /&gt;
&lt;br /&gt;
[7] P Liu, K Jia, Z Wangand Z Lv” A New Effective Image Retrieval Method&lt;br /&gt;
Based On Combined Feature” Proc IEEE Int Conf. On Image and Graphics,&lt;br /&gt;
August 2007, VolI PP 786-790&lt;br /&gt;
&lt;br /&gt;
[8] Son Lam Phung and Abdesselam Bouzerdoum, &amp;quot;A New Image Feature for&lt;br /&gt;
Fast Detection of People in Images&amp;quot;, International Journal of 2007&lt;br /&gt;
Institute for Scientific Information and Systems Sciences Computing and&lt;br /&gt;
Information Volume 3, Number 3, pp. 383-391.&lt;br /&gt;
&lt;br /&gt;
[9] Alberto Amato, Vincenzo Di Lecce, &amp;quot;Edge Detection Techniques in Image&lt;br /&gt;
Retrieval: The Semantic Meaning of Edge&amp;quot;, 4th EURASIP Conference on&lt;br /&gt;
Video/Image Processing and Multimedia Communications, Zagreb,&lt;br /&gt;
Croatia. pp. 143-148.&lt;br /&gt;
&lt;br /&gt;
[10] S. L. Phung and A. Bouzerdoum, &amp;quot;Detecting People in Images: An Edge&lt;br /&gt;
Density Approach&amp;quot;, IEEE, ICASSP 2007. pp. 1229-1232.&lt;br /&gt;
&lt;br /&gt;
[11] P. S. Hiremath , Jagadeesh Pujari, &amp;quot;Content Based Image Retrieval using&lt;br /&gt;
Color, Texture and Shape features&amp;quot;, 15th International Conference on&lt;br /&gt;
Advanced Computing and Communications, IEEE Computer Society 2007,&lt;br /&gt;
pp. 780-784&lt;br /&gt;
&lt;br /&gt;
[12] Mustafa Ozden and Ediz Polat, &amp;quot;Image Segmentation using Color and&lt;br /&gt;
Texture features&amp;quot;.13 European signal processing conference , Sep 2005&lt;br /&gt;
&lt;br /&gt;
[13] Minyoung Eom, and Yoonsik Choe, &amp;quot;Fast Extraction of Edge Histogram in&lt;br /&gt;
DCT Domain based on MPEG7&amp;quot;, proceedings of World Academy of&lt;br /&gt;
Science, Engineering and Technology Volume 9 November 2005 ISSN&lt;br /&gt;
1307-6884, pp. 209-212.&lt;br /&gt;
&lt;br /&gt;
[14] Mustafa Ozden and Ediz Polat, &amp;quot;Image Segmentation using Color and&lt;br /&gt;
Texture features&amp;quot;.13 European signal processing conference , Sep 2005&lt;br /&gt;
&lt;br /&gt;
[15] Tristan Glatard, John Montagnat, “Texture based Medical image indexing&lt;br /&gt;
and retrieval: application to cardiac images&amp;quot;. 6th ACM SIGMM&lt;br /&gt;
international workshop on Multimedia information retrieval 2004&lt;br /&gt;
&lt;br /&gt;
[16] Alberto Amato, Vincenzo Di Lecce, &amp;quot;Edge Detection Techniques in Image&lt;br /&gt;
Retrieval: The Semantic Meaning of Edge&amp;quot;, 4th EURASIP Conference&lt;br /&gt;
on Video/Image Processing and Multimedia Communications, July 2003&lt;br /&gt;
Zagreb, Croatia. pp. 143-148.&lt;br /&gt;
&lt;br /&gt;
[17] Alberto Amato, Vincenzo Di Lecce, &amp;quot;Edge Detection Techniques in Image&lt;br /&gt;
Retrieval: The Semantic Meaning of Edge&amp;quot;, 4th EURASIP Conference&lt;br /&gt;
on Video/Image Processing and Multimedia Communications, July 2003&lt;br /&gt;
Zagreb, Croatia. pp. 143-148&lt;br /&gt;
&lt;br /&gt;
[18] B. S. Manjunath, Jens-Rainer Ohm, Vinod V. Vasudevan, and Akio&lt;br /&gt;
Yamada, &amp;quot;Color and Texture Descriptors&amp;quot;. In: IEEE Transactions on&lt;br /&gt;
Circuits and Systems for Video Technology, Vol. 11, No. 6, June 2001, pp.&lt;br /&gt;
70-715.&lt;br /&gt;
&lt;br /&gt;
[19] B. S. Manjunath, Jens-Rainer Ohm, Vinod V. Vasudevan, and Akio&lt;br /&gt;
Yamada, &amp;quot;Color and Texture Descriptors&amp;quot;. In: IEEE Transactions on&lt;br /&gt;
Circuits and Systems for Video Technology, Vol. 11, No. 6, June 2001,&lt;br /&gt;
pp. 70-715.&lt;br /&gt;
&lt;br /&gt;
[20] Remco C. Veltcamp, Mirela Tanse, &amp;quot;Content Based Image Retrieval&lt;br /&gt;
Systems&amp;quot;. A Survey, Technical Report UU-CS-2000-34, October 2000, pp.&lt;br /&gt;
1-62.&lt;br /&gt;
&lt;br /&gt;
[21] R. C. Veltkamp and M. Hagedoorn. State-of-the-art in shape matching.&lt;br /&gt;
Technical Report UU-CS-1999-27, Universiteit Utrecht, Department of&lt;br /&gt;
Computer Science, 1999.&lt;br /&gt;
&lt;br /&gt;
[22] C. R. Shyu, et. al, &amp;quot;Local versus Global Features for Content-Based Image&lt;br /&gt;
Retrieval&amp;quot;, IEEE Workshop on Content-Based Access of Image and Video&lt;br /&gt;
Libraries, 1998.&lt;br /&gt;
&lt;br /&gt;
[23] A del Bimbo, M.Mugnaini, P.Pala, and F.Turco,”visual querying by color&lt;br /&gt;
perceptive regions”, Pattern Recognition, 1998, vol-31(9), pp-1241-1253.&lt;br /&gt;
&lt;br /&gt;
[24] H.J. Zhang and D. Zhong, ‘A scheme for visual feature based image&lt;br /&gt;
retrieval”, in proc. SPIE storage and Retrieval for image and video&lt;br /&gt;
databases, 1995, vol. II pp 28-33&lt;br /&gt;
&lt;br /&gt;
[25] M. Strieker and M. Orengo, &amp;quot;Similarity of color images,&amp;quot; in Proceedings of&lt;br /&gt;
SPIE Storage and Retrieval for Image and Video Databases III, vol. 2185&lt;br /&gt;
(San Jose, CA), pp. 381-392, February 1995&lt;br /&gt;
&lt;br /&gt;
[26] H. J. Zhang and D. Shong, &amp;quot;A scheme for visual feature-based image&lt;br /&gt;
indexing,&amp;quot; in Proceedings of SPIE Conference on Storage and Retrieval for&lt;br /&gt;
Image and Video Databases III, vol. 2185 (San Jose, CA), pp. 36-46,&lt;br /&gt;
February 1995.&lt;br /&gt;
&lt;br /&gt;
[27] M. Swain and D. Ballard, &amp;quot;Color indexing,&amp;quot; International Journal of&lt;br /&gt;
Computer Vision, vol. 7, pp. 11-32, 1991.&lt;br /&gt;
&lt;br /&gt;
== Links == &lt;br /&gt;
&lt;br /&gt;
=== Full Text === &lt;br /&gt;
http://www.enggjournals.com/ijcse/doc/IJCSE10-02-06-83.pdf&lt;br /&gt;
&lt;br /&gt;
[[internal file]] &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Sonstige Links ===&lt;/div&gt;</summary>
		<author><name>Gubachelier</name></author>	</entry>

	</feed>