Binary Plane Technique Based Color Quantization for Content Based Image Retrieval
-
2018-08-04 https://doi.org/10.14419/ijet.v7i3.1.16814 -
Binary Plane Technique, Image Retrieval, Color Quantization and Histogram Features -
Abstract
Extracting accurate informative file from a high volume of graphic files is a challenging task. This paper focus on presenting a new color indexing approach               using the histogram features. Two histogram features like maximum color histogram and minimum color histogram are computed and are vector quantized to constitute a feature vector. Bit plane technique is used to map these features based upon it value at the respective position. The ultimate goal of any retrieval method is to attain higher precision within a short span of time that could be achieved if the data is in compressed to accomplish this the image is compressed using binary plane technique. The result analysis depicts the performance of the proposed approach under lossy and lossless modes and found that when operated in lossy it attain effective precision rate in a speculated amount of time.
Â
-
References
[1] A.W.M. Smeulders, M. Worring, S. Santini, A. Gupta, R. Jain, “Content- Based Image Retrieval at the End of the Early Years,†IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 12, pp. 1349-1380, 2000.
[2] S. Pachanathan, “â€Compressed or Progressive Image Searchâ€, Image Database: Search and Retrieval of Digital Imagery, Wiley & Sons, pp.465-495, 2002.
[3] M. Shenier and M. Abdel-Mottaleb, "Exploiting the JPEG Compression Scheme for Image Retrieval", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 18, No. 8, pp.849-853, 1996.
[4] F. Idris and S. Panchanathan, “Image indexing using vector quantization“, Proc. SPIE: Storage and Retrieval for Image and Video Databases III, pp. 373-380, 1995
[5] S.Mahaboob Basha and Dr. B. Sathyanarayana, "Image Compression Using Binary Plane Technique," IEEE, vol. 1, no. 1, pp. 4-65, 1996
[6] N. Subhash Chandra et al., "Loss less compression of images using binary plane, difference and huffman coding (BDH technique) ," Journal of Theoretical and Applied Information Technology, vol. 3, no. 1, pp. 3-56, 2008.
[7] Y. Deng, B. S. Manjunath, C. Kenney, M. S. Moore, and H. Shin, “An Efficient Color Representation for Image Retrieval,†IEEE Trans. Image Processing, 10(1):140–147, 2001.
[8] S. Jeong, C. S. Won, and R.M. Gray, “Image retrieval using color histograms generated by Gauss mixture vector quantization,†Computer Vision and Image Understanding, 9(1–3):44–66, 2004.
[9] B. S. Manjunath, J.-R. Ohm, V. V. Vasudevan, and A.Yamada, “Color and Texture Descriptors,†IEEE Trans. Circuits and Systems for Video Technology, 11(6):703–715, 2001.
[10] M. R. Gahroudi and M. R. Sarshar, “Image retrieval based on texture and color method in BTC-VQ compressed domain,†in Proc. Int. Symp. Signal Process. Appl., Feb. 2007, pp. 1–4.
[11] S. Sergyan, "Color histogram features based image classification in content-based image retrieval systems," 2008 6th International Symposium on Applied Machine Intelligence and Informatics, Herlany, 2008, pp. 221-224
[12] T.-C. Lu and C.-C. Chang, “Color image retrieval technique based on color features and image bitmap,†Inf. Process. Manage., vol. 43, no. 2, pp. 461–472, Mar. 2007.
[13] P. Poursistani, H. Nezamabadi-Pour, R. A. Moghadam, and M. Saeed, “Image indexing and retrieval in JPEG compressed domain based on vector quantization,†Math. Comput. Model., vol. 57, nos. 5–6, pp. 1005–1017, 2013.
[14] J. M. Guo, H. Prasetyo and J. H. Chen, "Content-Based Image Retrieval Using Error Diffusion Block Truncation Coding Features," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 3, pp. 466-481, March 2015.
[15] T. Esther Ratna, Dr. N. Subash Chandra, “Color Features based Image Retrieval Framework: A Reviewâ€, IJCMS, Volume 7, Issue 2, February 2018
[16] Dr.M.Ashok and Dr. T. Bhaskar Reddy ,â€Color image compression based on Luminance and Chrominance using Binary Wavelet Transform (BWT) and Binary Plane Technique (BPT)â€. International Journal of Computer Science and Information Technology & Security (IJCSITS), 1(2): 2249-9555-2012
[17] P.Ashok Babu, Dr. K.V.S.R. Prasad, “A lossy color image compression using IWT and BPTâ€, Graphics & Vision, 12(15), 2012
[18] https://sites.google.com/site/dctresearch/Home/content-based-image-retrieval
[19] ElAlami ME, “A novel image retrieval model based on the most relevant featuresâ€, Knowledge-Based System 2011;24(1):23–32
[20] Ashraf R, Bashir K, Irtaza A, Mahmood MT, “Content based image retrieval using embedded neural networks with bandletized regions Entropyâ€, 2015-17 (6):3552–80.
[21] Mutasem K. Alsmadi, “An efficient similarity measure for content based image retrieval using memetic algorithmâ€, Egyptian Journal of Basic and Applied Sciences, 4 (2017) 112–122.
G. Ramprabu, S. Nagarajan, “Design and Analysis of Novel Modified Cross Layer Controller for WMSNâ€, Indian Journal of Science and Technology, Vol 8(5), March 2015, pp.438-444
-
Downloads
-
How to Cite
Esther Ratna, T., & Subash Chandra, N. (2018). Binary Plane Technique Based Color Quantization for Content Based Image Retrieval. International Journal of Engineering & Technology, 7(3.1), 124-127. https://doi.org/10.14419/ijet.v7i3.1.16814Received date: 2018-08-04
Accepted date: 2018-08-04
Published date: 2018-08-04