What are Intensity Transformations? 1 pointUsed for blurringUsed for edge detection Changing an image one pixel at a time None of the above

Understanding Intensity Transformations

Intensity transformations are techniques used in image processing to adjust or enhance the pixel values of an image based on various functions. They do not directly correspond to operations like blurring or edge detection, but instead, they alter the brightness and contrast of an image by modifying the intensity levels of pixels.

Answering the Question

1. Options Analysis:

   • Used for blurring: This is incorrect because blurring techniques typically involve convolution with specific kernels rather than intensity transformations.
   • Used for edge detection: This is also incorrect as edge detection usually involves gradient calculations rather than direct intensity changes.
   • Changing an image one pixel at a time: This option aligns with the concept of intensity transformations, which can affect individual pixel values based on defined intensity functions.
   • None of the above: This option could be misleading.

2. Correct Choice: The most accurate choice would be: Changing an image one pixel at a time since intensity transformations involve manipulating the pixel values unless further context suggests otherwise.

Conclusion

From the given options, the correct answer regarding intensity transformations is Changing an image one pixel at a time.