Effectiveness of Dominant Color Descriptor Technique in Medical Image Retrieval Application
This paper presents a dominant color descriptor
technique for medical image retrieval. The medical image system
will collect and store into medical database. The purpose of
dominant color descriptor (DCD) technique is to retrieve medical
image and to display similar image using queried image. First, this
technique will search and retrieve medical image based on keyword
entered by user. After image is found, the system will assign this
image as a queried image. DCD technique will calculate the image
value of dominant color. Then, system will search and retrieve again
medical image based on value of dominant color query image.
Finally, the system will display similar images with the queried
image to user. Simple application has been developed and tested
using dominant color descriptor. Result based on experiment
indicates this technique is effective and can be used for medical
image retrieval.
[1] Miller H, Michoux N, Bandon D, Geissbulher A. A Review of
Content-Based Image Retrieval System in Medical Application
Clinical Benefits and Future Directions. Int J Med Inform 2004,
73:1-23.
[2] Tagare LHY, Hanka R, Ip HSS. Medical Image Databases: A
Content-Based Retrieval Approach. J. Am Med Informat Assoc
1997, 4: 184-98.
[3] Florea F, Muller H, Rogozan A, Geissbuhler A, Darmoni S.
Medical Image Categorization with MedIC and MedGIFT. Proc
Med Inform Europe (MIE 2006). P. 3-11.
[4] Y. Rui, T.S. Huang, S.F. Chang, Image Retrieval: Current
Technique, Promising Directions and Open Issues, J. Visual
Commun. Image Representation 10 (1999) 39-62.
[5] Rui Min, H.D. Cheng. Effective Image Retrieval Using Dominant
Color Descriptor and Fuzzy Support Vector Machine.Pattern
Recognition 42 (2009) 147-157.
[6] Y. Rui, T.S. Huang, M. Ortega, S. Mehrotra. Relevance feedback:
a power tool for interactive cantent-based image retrieval, IEEE
Trans. Circuit Syst. Video Technol. 8 (1998). 644-655.
[7] B.S. Manjunath, P. Salembier, T. Sikora,. Introduction to
MPEG-7: Multimedia Content Description Interface, Wiley,
Chichester, 2002.
[8] A. Lew, H. Much, Dynamic Programming a Computational Tool,
Studies in Computational Intelligence, vol 38, Springer, Berlin,
New York, 2007, p. xviii, 379 p.
[9] Rand Cooperation, R.E. Bellman, Dynamic Programming,
Princeton University Press, Princeton, NJ, USA, 1957.
[10] J.Z. Wang, Li. G. Wiederhold, Simplicity: Semantics-Sensitive
Integrated Matching for Picture Libraries, IEEE Trans. Image
Process. 10 (2001) 140-147.
[1] Miller H, Michoux N, Bandon D, Geissbulher A. A Review of
Content-Based Image Retrieval System in Medical Application
Clinical Benefits and Future Directions. Int J Med Inform 2004,
73:1-23.
[2] Tagare LHY, Hanka R, Ip HSS. Medical Image Databases: A
Content-Based Retrieval Approach. J. Am Med Informat Assoc
1997, 4: 184-98.
[3] Florea F, Muller H, Rogozan A, Geissbuhler A, Darmoni S.
Medical Image Categorization with MedIC and MedGIFT. Proc
Med Inform Europe (MIE 2006). P. 3-11.
[4] Y. Rui, T.S. Huang, S.F. Chang, Image Retrieval: Current
Technique, Promising Directions and Open Issues, J. Visual
Commun. Image Representation 10 (1999) 39-62.
[5] Rui Min, H.D. Cheng. Effective Image Retrieval Using Dominant
Color Descriptor and Fuzzy Support Vector Machine.Pattern
Recognition 42 (2009) 147-157.
[6] Y. Rui, T.S. Huang, M. Ortega, S. Mehrotra. Relevance feedback:
a power tool for interactive cantent-based image retrieval, IEEE
Trans. Circuit Syst. Video Technol. 8 (1998). 644-655.
[7] B.S. Manjunath, P. Salembier, T. Sikora,. Introduction to
MPEG-7: Multimedia Content Description Interface, Wiley,
Chichester, 2002.
[8] A. Lew, H. Much, Dynamic Programming a Computational Tool,
Studies in Computational Intelligence, vol 38, Springer, Berlin,
New York, 2007, p. xviii, 379 p.
[9] Rand Cooperation, R.E. Bellman, Dynamic Programming,
Princeton University Press, Princeton, NJ, USA, 1957.
[10] J.Z. Wang, Li. G. Wiederhold, Simplicity: Semantics-Sensitive
Integrated Matching for Picture Libraries, IEEE Trans. Image
Process. 10 (2001) 140-147.
@article{"International Journal of Medical, Medicine and Health Sciences:59360", author = "Mohd Kamir Yusof", title = "Effectiveness of Dominant Color Descriptor Technique in Medical Image Retrieval Application", abstract = "This paper presents a dominant color descriptor
technique for medical image retrieval. The medical image system
will collect and store into medical database. The purpose of
dominant color descriptor (DCD) technique is to retrieve medical
image and to display similar image using queried image. First, this
technique will search and retrieve medical image based on keyword
entered by user. After image is found, the system will assign this
image as a queried image. DCD technique will calculate the image
value of dominant color. Then, system will search and retrieve again
medical image based on value of dominant color query image.
Finally, the system will display similar images with the queried
image to user. Simple application has been developed and tested
using dominant color descriptor. Result based on experiment
indicates this technique is effective and can be used for medical
image retrieval.", keywords = "Medical Image Retrieval, Dominant ColorDescriptor.", volume = "4", number = "4", pages = "153-3", }