Biomedical Image Processing — Winter 2024

Explain formation of image in human eye.

Differentiate between major camera sensors.

Explain image sampling theory along with various sampling types.

Explain basics of derivative based edge detection method.

Explain color model conversion from HSV to RGB.

What is histogram? Explain histogram equalization process with example.

Explain Laplacian of Gaussian filter. Apply it on image given below.

Write down various applications of Morphological Operations.

Explain intensity slicing with example.

Draw block diagram of Frequency domain filtering. Explain various frequency domain low pass filters with necessary example.

Explain extraction of connecting components in morphology.

Perform boundary extraction on following image.

Explain Hit or Miss transform with exam ple.

Explain Applications of segmentation in medical images.

Explain difference between thickening and thinning.

Perform opening, closing, dilation and erosion on following image with given structural element. Image Structural element1

Give difference between global and adaptive thresholding.

Explain linear hough transform using example.

Explain region based segmentation.

Explain Chain codes in brief.

Explain lossy compression method with example.

Discuss K-means clustering algorithm with necessary equations.

Enlist types of image features. Explain any one in brief.

Draw and explain image compression model.

Discuss Huffman coding with suitable example.