Region Based Segmentation: (a) Region Growing (b) Region Splitting and Merging (c) Watershed Segmentation

Pre Test

1. Region growing segmentation relies on which of the following assumptions?

a) All pixels have random intensity values
b) Neighboring pixels within a region have similar values
c) Pixels are selected based on user input only
d) Each pixel must be isolated before segmentation

2. What is the role of 'seeds' in region growing segmentation?

a) They mark boundaries between regions
b) They are used to define starting points for region growth
c) They represent background pixels
d) They delete noise from the image

3. Which of the following is NOT a similarity criterion used in region growing?

a) Absolute intensity difference
b) Euclidean distance in color space
c) Texture similarity
d) Image compression ratio

4. Which data structure is commonly used in region splitting segmentation?

a) Stack
b) Queue
c) Quadtree
d) Hashmap

5. What does the watershed algorithm simulate to perform segmentation?

a) Pixel matching
b) Edge sharpening
c) Flooding of a topographic surface
d) Histogram equalization