Biomedical Image Processing — Summer 2025

Draw and explain image formation in human eye.

Differentiate between major image sensors.

Explain RGB, HSI and CMYK models.

Explain intensity slicing.

Explain derivative based Edge detection.

Explain image acquisition process in detail.

Perform following operations on following image. 1) Image Negative 2) gamma correction (gamma=0.8)

Explain applications of morphological image processing.

Explain frequency domain low pass filters.

Explain Histogram equalization technique with example.

Explain pruning and its applications.

Explain Convex hull with its applications.

Perform Hit or Miss on following image (A) and structural element (X). 1 1 1 1 1 1 X 1 X (A) (B)

Give difference between thickening and thinning process.

Explain boundary extraction method.

Perform opening and closing of image on following image and structural element. (A) (B)1

Explain applications of Global and Adaptive thresholding.

Explain formulation of K-means clustering.

Explain Linear Hough transform with example.

Describe image moments.

Draw and explain compression image compression model.

Explain various region based segmentation with examples.

Give difference between Lossless and Lossy compression.

Explain usage of Chain code.

Explain variable length coding with suitable example.