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

Post Test

1. Which of the following is a stopping condition in region merging?

a) When all regions are equal in size
b) When a predefined similarity threshold is reached
c) When the number of pixels is odd
d) When brightness exceeds 255

2. What is a 'superpixel' in the context of region merging?

a) A pixel with maximum brightness
b) A compressed version of the image
c) A small homogeneous region of the image used as a basic unit for merging
d) A noisy pixel

3. If you apply region growing segmentation but the result shows leakage into unrelated areas, what is the most likely cause?

a) Incorrect filter size
b) Poor seed point selection
c) Low resolution of the image
d) Color quantization

4. If you are segmenting satellite images with large areas of uniform vegetation, which method would be most effective?

a) Edge Detection
b) Watershed
c) Canny Thresholding
d) Region Splitting

5. An image contains touching circular objects (such as coins). Which segmentation method would be most effective to separate them?

a) Thresholding
b) Region Growing
c) Watershed with Distance Transform
d) Region Merging