Feature Based Comparison of Text Based Image Retrieval and Context Based Image Retrieval Images

Authors

  • Gagandeep Kaur Department of Computer Science, Guru Nanak College,Budhlada, Punjab, India
  • Deepam Goyal Department of Mechanical Engineering, National institute of Technical Teachers Training & Research, Chandigarh, India
  • Rajeev Kumar Dang Department of Mechanical Engineering, National institute of Technical Teachers Training & Research, Chandigarh, India

DOI:

https://doi.org/10.51983/ajeat-2018.7.2.965

Keywords:

Context based image retrieval (CBIR), Feature extraction, Text based image retrieval (TBIR)

Abstract

Image processing is a field to process the images according to horizontal and vertical axis to form some useful results. It deals with edge detection, image compression, noise removal, image segmentation, image identification, image retrieval and image variation etc. Customarily, there are two techniques i.e. text based image retrieval and content based image retrieval that are used for retrieving the image according to features and providing color to all pixel pairs. The system retrieval that is based on TBIR assists to recover an image from the database using annotations. CBIR extorts images to form a hefty degree database using the visual contents of an original image that is called low level features or features of an image. These visual features are extracted using feature extraction and then match with the input image. Histogram, color moment, color correlogram, Gabor filter and wavelet transform are various CBIR techniques that can be used autonomously or pooled to acquire enhanced consequences. This paper states about a novel technique for fetching the images from the image database using two low level features namely color based feature and texture based features. Two techniques- one is color correlogram (for color indexing) and another is wavelet transform (for texture processing) has also been introduced.

References

S. M. Singh and K. Hemachandran, "Image retrieval based on the combination of color histogram and color moment," International Journal of Computer Applications, vol. 58, no. 3, pp. 27-34, 2012.

B. Dinakaran, J. Annapurna, and C. A. Kumar, "Interactive image retrieval using text and image conten," Cybern Inf Tech, vol. 10, pp. 20-30, 2010.

H. B. Kekre and D. Mishra, "Sectorization of Full Kekre’s Wavelet Transform for Feature extraction of Color Images," International Journal of Advanced Computer Science and Applications, vol. 2, no. 2, pp. 58-68, 2011.

S. V. Sakhare and V. G. Nasre, "Design of feature extraction in content based image retrieval (CBIR) using color and texture," International Journal of Computer Science & Informatics, vol. 1, no. 2, pp. 57-61, 2011.

E. Sirisha, P. Sanoop, P. H. Vishnu and Y. Srinivas, "Image Retrieval using Wavelet Decomposition Color Correlogram and Color Mean," International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, no. 9, pp. 1176-1180, 2013.

F. Long, H. Zhang and D. D. Feng, "Fundamentals of content-based image retrieval. In Multimedia Information Retrieval and Management," Springer, Berlin, Heidelberg, pp. 1-26, 2003.

K. Haridas and A. S. Thanamani, "Well-organized content based image retrieval system in RGB Color Histogram, Tamura Texture and Gabor Feature," International Journal of Advanced Research in Computer and Communication Engineering, vol. 3, no. 10, pp. 8242-8248, 2014.

M. Danish, R. Rawat and R. Sharma, "A survey: content based image retrieval based on color, texture, shape & neuro fuzzy," International Journal of Engineering Research and Applications, vol. 3, no. 5, pp. 839-844, 2013.

M. Lux and S. A. Chatzichristofis, "Lire: lucene image retrieval: an extensible java cbir library,” in Proceedings of the 16th ACM international conference on Multimedia, pp. 1085-1088, 2008.

P. A. Deole and Longadge, "Content based image retrieval using color feature extraction with KNN classification," International Journal of Computer Science and Mobile Computing, vol. 3, no. 5, pp. 1274-1280, 2014.

S. M. H. Khan, A. Hussain and I. F. T. Alshaikhli, "Comparative study on content-based image retrieval (CBIR). in International Conference on Advanced Computer Science Applications and Technologies-2012, IEEE, pp. 61-66, 2012.

M. J. Swain and D. H. Ballard, "Color indexing," International Journal of Computer Vision, vol. 7, no. 1, pp. 11-32, 1991.

B. Ramamurthy and K. R. Chandran, "Content based medical image retrieval with texture content using gray level co-occurrence matrix and k-means clustering algorithms," Journal of Computer Science, vol. 8, no. 7, pp. 1070-1076, 2012.

N. Jain and D. S. Salankar, "Color & texture feature extraction for content based image retrieval," IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), pp. 2278-1676, 2014.

P. RaviTheja and S. Balaji, "A novel approach of an effective image retrieval scheme using color, texture and shape features," International Journal of Computer & Organization Trends, vol. 3, no. 2, pp. 9-13, 2013.

R. Bala and R. Sharma, "Efficient Method of CBIR Using Combination of Shape, Color and Texture Feature with Fuzzy Technique," International Journal of Advanced Research in Electronics and Communication Engineering, vol. 3, no. 8, pp. 909-913, 2014.

A. R. Kumar and D. Saravanan, "Content based image retrieval using color histogram," International journal of computer science and information technologies, vol. 4, no. 2, pp. 242-245, 2013.

S. Vidivelli and S. S. Devi, "Wavelet based integrated color image retrieval," in International Conference on Recent Trends in Information Technology, IEEE, pp. 853-856, 2011.

A. Kaur, V. K. Banga and N. Kaur, "Color and texture based image retrieval: a proposed method," International Journal of Research in Engineering and Technology, vol. 2, no. 1, pp. 498-501, 2013.

M. S. R. Janani and P. Sebhakumar, "An improved cbir method using color and texture properties with relevance feedback," International Journal of Innovative Research in Computer and Communication Engineering, vol. 2, no. 1, pp. 47-54, 2014.

P. Jayaprabha and R. Somasundaram, "Content based image retrieval methods using graphical image retrieval algorithm (GIRA)," International Journal of Information and Communication Technology Research, vol. 2, no. 1, pp. 9-14, 2012.

A. Oberoi and M. Singh, "Content based image retrieval system for medical databases (CBIR-MD)-lucratively tested on endoscopy, dental and skull images," International Journal of Computer Science Issues, vol. 9, no. 3, pp. 300-306, 2012.

J. Huang, S. R. Kumar, M. Mitra, W. J. Zhu and R. Zabih, "Image indexing using color correlograms. In Proceedings on Computer Vision and Pattern Recognition-1997, IEEE Computer Society, pp. 762-768, 1997.

D. John and S. T. Tharani, "Content based image retrieval using HSV-color histogram and GLCM," International Journal of Advance Research in Computer Science and Management Studies, vol. 2, no. 1, pp. 246-253, 2014.

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Published

15-09-2018

How to Cite

Kaur, G., Goyal, D. ., & Dang, R. K. (2018). Feature Based Comparison of Text Based Image Retrieval and Context Based Image Retrieval Images. Asian Journal of Engineering and Applied Technology, 7(S2), 6–11. https://doi.org/10.51983/ajeat-2018.7.2.965