Digital Image Processing Using Machine Learning

Author:

Bansal Priya1,Mamta Mrs.2

Affiliation:

1. M. Tech Scholar, Department of CSE, I.G.U. Rewari, YCET Narnaul, Haryana, India

2. Assistant Professor, Department of CSE, I.G.U. Rewari, YCET Narnaul, Haryana, India

Abstract

Main aim of Digital Image Processing Using Machine Learning is to extract important data from images. Using this extracted information description, interpretation and understanding of the scene can be provided by the machine. Main point of image processing is to modify images in to desired manner. Image processing is called as altering and analyzing pictorial information of images. In our daily life we come across different type of image processing best example of image processing in our daily life is our brain sensing lot of images when we see images with eyes and processing is done is very less time.

Publisher

Technoscience Academy

Subject

General Medicine

Reference22 articles.

1. Dudgeon, D.E. and R.M. Mersereau, Multidimensional Digital Signal Processing. 1984, Englewood Cliffs, New Jersey: Prentice-Hall.

2. Castleman, K.R., Digital Image Processing. Second ed. 1996, Englewood Cliffs, New Jersey: Prentice-Hall.

3. Oppenheim, A.V., A.S. Willsky, and I.T. Young, Systems and Signals. 1983, Englewood Cliffs, New Jersey: Prentice-Hall.

4. Papoulis, A., Systems and Transforms with Applications in Optics. 1968, New York: McGraw-Hill.

5. Russ, J.C., The Image Processing Handbook. Second ed. 1995, Boca Raton, Florida: CRC Press.

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