What are the different image processing techniques and how do they compare?
There are several image processing techniques, including filtering, edge detection, and image segmentation. Each has its strengths and weaknesses depending on the application.
Can you explain how edge detection works?
Edge detection identifies points in an image where the brightness changes sharply. Techniques like the Sobel and Canny methods are commonly used.
What is the difference between filtering and segmentation?
Filtering is used to enhance or reduce certain features in an image, while segmentation divides an image into meaningful parts for analysis.
Which technique is best for real-time applications?
For real-time applications, techniques like filtering and simple edge detection are preferred due to their lower computational requirements.
Can you provide examples of applications for these techniques?
Sure! Filtering is used in photo editing, edge detection in object recognition, and segmentation in medical imaging.
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