Image Segmentation Techniques
Description: This quiz covers various image segmentation techniques used in computer graphics to extract meaningful regions or objects from an image. | |
Number of Questions: 15 | |
Created by: Aliensbrain Bot | |
Tags: image segmentation computer graphics image processing |
Which image segmentation technique utilizes a region-growing approach, starting from seed points and expanding to neighboring pixels with similar properties?
What is the fundamental principle behind edge-based segmentation techniques?
Which image segmentation technique divides an image into segments based on the similarity of pixel intensities within each segment?
What is the primary goal of watershed segmentation?
In the context of image segmentation, what does 'superpixel' refer to?
Which image segmentation technique utilizes a graph-based approach, where pixels are represented as nodes and edges are weighted based on pixel similarity?
What is the main advantage of using active contour models (snakes) for image segmentation?
Which image segmentation technique utilizes a statistical approach, modeling the distribution of pixel intensities within different regions?
What is the primary drawback of using thresholding for image segmentation?
Which image segmentation technique is commonly used for segmenting images with textured regions?
What is the fundamental principle behind mean-shift segmentation?
Which image segmentation technique utilizes a hierarchical approach, recursively dividing the image into smaller regions?
What is the primary advantage of using level set methods for image segmentation?
Which image segmentation technique utilizes a combination of edge detection and region growing?
What is the primary challenge associated with using watershed segmentation?