Biomedical Image Processing — Summer 2024

Draw and explain basic concepts of image sampling and quantization. Enlist different types of sampling techniques.

What is 4-adjacency, 8-adjacency and m- adjacency? Explain with example.

Explain chess board and city block distance measurement techniques using example.

Enlist different types of image formats. Explain different image sensors in detail.

Find out Image Negative of 8-bit gray scale image given below.

What is Affine transform? Explain Rotation and Translation transformation.

Perform Histogram Equalization on a 3 bit image (L=8) of size 64×64 pixels has the intensity distribution shown in the below table. Image Gray Level Distribution Gray level(rk) No. of 790 1023 850 656 329 245 122 81 Pixel(nk)1

Enlist different smoothing frequency domain filters. Explain any one in detail.

Explain Sobel operator with example.

Explain intensity level slicing and also explain importance of it.

Explain Hit and Miss transform in detail.

Explain opening operation.

Explain point and line detection for image segmentation

Draw and explain wavelet selection block diagram.

Explain Arithmetic coding for image compression.

Explain boundary detection in morphological image processing.

Describe Region filling operation.

Explain K-means clustering with example

Explain DCT image compression in detail.

Describe types of Image features.

Explain Erosion using one example.

Write a short note on Circular Hough Transform.

Describe types of Image moments.

Explain Dilation using one example.

Explain 4 direction and 8 directional chain code with example.