Image Processing Techniques: A Review

Neetu Rani

doi:10.15415/jotitt.2017.51003

Authors

Neetu Rani Computer Science Department, Chitkara University, Himachal Pradesh.

DOI:

https://doi.org/10.15415/jotitt.2017.51003

Keywords:

Image processing, Segmentation, Threshold, Acquisition, Enhancement

Abstract

In today’s scenario image processing is one of the vast growing fields. It is a method which is commonly used to improve raw images which are received from various resources. It is a kind of signal processing. This paper provides an overview of image processing methods. The main concern of this paper is to define various techniques used in different phases of image processing.

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References

Kulkarni, P.M., Naik, A.N., Bhadvankar, A.P., Review Paper on Image Processing Techniques. International Journal for Scientific Research & Development, 3(10), (2015). http://dx.doi.org/10.1109/ICSensT.2012.6461695.

Mahmud, S.A., Mohammed, J., B., Hasan, M. S., Alzghool, M., A Survey of Digital Image Processing Techniques in Character Recognition. IJCSNS International Journal of Computer Science and Network Security, 14(3), (2014).

Rao, K. M., Overview of Image Processing. Reading Images, (2006).

Kaur, A. “A review paper on image segmentation and its various techniques in image processing” International Journal of Science And Research, 3(12), (2014).

A.A. Aly, S.b.Deris, N. Zaki, “Research review for digital image segmentation techniques” International Journal of Computer Science & Information Technology 3(5), (2011).

Yogamangalam,R., Segmentation Techniques Comparison in Image Processing. International Journal of Engineering and Technology (IJET), 5(1), (2013.

Kaganami, H.Beiji, Z. “Region based segmentation versus edge detection. Intelligent “, Information Hiding and Multimedia Signal Processing, 1217-1 221 , (2009).

Ma, M.T., and Manjunath, B.S., “Edge flow: A framework of boundary detection and image segmentation”. IEEE Trans. Image Process., .9(8), 1375–1388(2000). http:// dx.doi.org/10.1109/CVPR.1997.609409.

Li, D., Zhang, G., Wu, Z., Yi. L., An Edge Embedded Marker-Based Watershed Algorithm for High Spatial Resolution Remote Sensing Image Segmentation, IEEE Transactions 19,2781-2787(2010).

Shih, F.Y., Cheng.S.Adaptive mathematical morphology foredge linking. Information Sciences, 167(4), 9-21(2004).

Comaniciu, D., Meer, P., Robust Analysis Of Feature Spaces Color Image Segmentation, Proc. IEEE CVPR Conference, 750-755,(1997).

Baradez, M.O., McGuckin, C.P., Forraz, N., Pettengell, R., Hoppe, “A Robust and automated unimodal histogram thresholding and potential applications Pattern Recognition, 37(6),1131–1148(2004).

J. Luo, R. T. Cray, and H.C. Lee, Incorporation of derivative priors in adaptive Bayesian colour image segmentation.Proc. ICIP’97, Vol. 3, pp. 58-61, Oct 26-29, 1997 Santa Barbara, CA. http://dx.doi.org/10.1109/ICIP.1998.727372

S., Dhawan., A Review of Image Compression and Comparison of its Algorithms. International Journal of Electronics & Communication Technology, 2(1),(2011).

Wallace, G. K., The JPEG Still Picture Compression Standard.Comm.ACM, 34(4), (1991).

LU, D., Weng, Q. “A survey of image classification methods and techniques for improving classification performance”, International Journal of Remote Sensing, 28(5), 823–870. http://dx.doi.org/10.1080/01431160600746456.

Li, P., LI, H.O., Fuzzy techniques in image restoration research—a survey, International Journal Of Computational Cognition, 2(2), 131–149(2004).

Maru, M., “Image Restoration Techniques: A Survey”, International Journal of Computer Trends and Technology, 3(12), 2014.

Moustakidesa, G., Briassoulisb, D.E. Psarakisa, E., Dimasb, 3D image acquisition and NURBS based geometry modelling of natural objects, Advances in Engineering Software, 955–969,(2000).

Kuriakose, B., Preena, K.P. “A Review on 2D Image Representation Methods”, International Journal of Engineering Research & Technology (IJERT), 4(4), (2015).

Kaur, G., Image Enhancement and Its Techniques, A Review, International Journal of Computer Trends and Technology (IJCTT), 3(12),(2014).