Question:

Choose the INCORRECT statement about image segmentation in digital image processing.

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Image segmentation plays a key role in dividing images into meaningful regions that are useful for further classification or analysis.
Updated On: Dec 1, 2025
  • Segmentation divides an image into different regions.
  • Image segmentation does not help in image classification.
  • Segmentation helps to identify objects or boundaries.
  • Segmentation is a process of partitioning an image into multiple sets of similar pixels.
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The Correct Option is B

Solution and Explanation

Image segmentation is an important step in image processing that helps in dividing an image into different regions based on similarity in pixel values. It is a crucial step in identifying objects and boundaries within an image, which makes it highly useful for image classification.
Step 1: Understanding Image Segmentation
- Option (A) is correct because segmentation indeed divides an image into different regions based on pixel similarity.
- Option (B) is incorrect because image segmentation actually aids in image classification by separating objects and regions of interest.
- Option (C) is correct as segmentation helps in identifying objects or boundaries by isolating distinct areas of the image.
- Option (D) is correct because segmentation involves partitioning an image into multiple sets of similar pixels based on some criteria (e.g., color, intensity). Step 2: Conclusion
The incorrect statement is (B), as segmentation is essential for image classification.
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