Total views : 314

Effective Teaching of Theory Course Using PBL

S. K. Khamuruddeen *, Azeem Unnisa

Affiliations

  • Department of ECE, Hyderabad Institute of Technology and Management, Hyderabad, India

DOI:

Abstract


Digital image processing is a method to perform arithmetic operations on an image to improve its quality. Digital image processing has many advantages over analog image processing. Now a Day the usage of Digital Image Processing all over the world has increased in different domains. There are many opportunities for a fresher graduate with Digital Image Processing skills. So, to know the different techniques of Digital Image Processing Project Based Learning Methodology is found very useful to the fresher graduates. Project Based Learning Methodology is implemented by using MATLAB Software and applied to this course. This Paper Presents the Procedure to implement a Project Based Learning Methodology to develop various applications in the area of Digital Image Processing. By Using Project Based Learning we can motivate the students more effectively.

Keywords

Digital Image Processing, Project Based Learning Methodology, MATLAB.

Full Text:

 |  (PDF views: 64)

References


  • Gonzalez, R.C. and R.E. Woods, Digital Image Processing.

  • Goodman, J.W., Introduction to Fourier Optics. McGraw-Hill Physical and Quantum Electronics Series

  • Heijmans, H.J.A.M., Morphological Image Operators. Advances in Electronics and Electron Physics. 1994, Boston: Academic Press.

  • “Fundamentals of Digital Image Processing” by Anil K. Jain

  • Young, I.T., Sampling density and quantitative microscopy. Analytical and Quantitative Cytology and Histology, 1988.

  • Kulpa, Z., Area and perimeter measurement of blobs in discrete binary pictures. Computer Vision, Graphics and Image Processing, 1977.

  • Vossepoel, A.M. and A.W.M. Smolders, Vector code probabilities and metrication error in the representation of straight lines of finite length. Computer Graphics and Image Processing, 1982.

  • Photometric Ltd., Signal Processing and Noise, in Series 200 CCD Cameras Manual. 1990: Tucson, Arizona.

  • Huang, T.S., G.J. Yang, and G.Y. Tang, A Fast Two-Dimensional Median Filtering Algorithm. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1979.



DOI: