Perform histogram equalization for the following histogram.
| Gray level | 0 | 1/7 | 2/7 | 3/7 | 4/7 | 5/7 | 6/7 | 7/7 |
| Number of occurrences | 400 | 700 | 800 | 900 | 500 | 400 | 196 | 200 |
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A bullet is 2.5 cm long, 1cm wide and its range of speed is . The bullet is flight is captured by a camera that exposes the scene for k sec and the bullet occupies 10% of the horizontal resolution of
frames. Find
i) Automatic segmentation of the bullet.
ii) Automatic determination of speed of the bullet.
Filter the given gray level image with
i) mean filter using zero padding
ii) 3×3 weighted mean filter using zero padding with mask
iii) 3×3 median filter processing only such pixels that have all the needed neighbours.
iv) Laplacian filter with the given mask and reflecting the border pixels.
Explain the functioning of an adaptive, local noise reduction filter.
Given that
where f and g are real images and h is a spatial filter.
Obtain G(u,v), in terms of F(u,v), and H(u,v), the 2–D Fourier transform of g(x,y).
) Propose a gray level slicing algorithm capable of producing the 4-bit plane of an 8-bit monochrome image.
Given an image with uniform histogram. Explain the effect of applying following compression techniques:
i) Huffman,
ii) Golomb,
iii) LZW,
iv) Prediction coding, and
v) Optimal Quantization
Apply the perception algorithm to the following pattern classes:,
.
Let and
Also, Sketch the decision surface.