B.TECH - Semester 6 digital image processing Question Paper 2019 (jun)
Practice authentic previous year university questions for better exam preparation.
Sample Questions
- Give the reason for using a particular statistical parameter used for comparing the different contrast values?
- What do you mean by Euclidean distance?
- Differentiate between Discrete sine and Discrete cosine transforms.
- What are the advantages of Discrete Cosine transform?
- What do you understand from the term point operations.
- What is the significance of illumination and reflectance components of the processed image?
- Justify why constrained least squares filter is better than Wiener filter.
- Write down the principle of recognition based on decision theoretic methods.
- With an example define erosion operation as applied to morphology.
- What is the need for thresholding? ( $\mathbf{1 0} \boldsymbol{\times} \mathbf{4} \boldsymbol{=} \mathbf{4 0}$ Marks) P.T.O. Answer any two questions from each Module.
- Draw the cross sectional structure of human eye and explain how image is formed. 10
- State and explain any four properties of 2-D Discrete Fourier Transform. 10
- Derive the FFT algorithm and highlight its merits. Module - II
- Discuss anyone intensity transformation function with suitable example. 10
- Explain histogram equalization with relevant mathematical expressions.
- Explain in detail the differences between constrained and unconstrained image restorations. Module - III
- Name the three types of data redundancies that can be identified and exploited -Explain in detail.
- Explain how the basic operations of morphology can be extended to develop gray scale morphological algorithm.
- Write a detailed note on detection of discontinuities as applied to image segmentation. ( $\mathbf{3} \boldsymbol{\times} \mathbf{2 0} \boldsymbol{=} \mathbf{6 0}$ Marks)