Image differentiation enhances the edges, discontinuities and deemphas – McqOptions

MCQOPTIONS

1.	Image differentiation enhances the edges, discontinuities and deemphasizes the pixels with slow varying gray levels.
A.	True
B.	False
Answer» B. False

Discussion

No Comment Found

Related MCQs

First order derivative can enhance the fine detail in the image compared to that of second order derivative.
What is the thickness of the edges produced by first order derivatives when compared to that of second order derivatives?
Isolated point is also called as noise point.
If f(x,y) is an image function of two variables, then the first order derivative of a one dimensional function, f(x) is:
In which of the following cases, we wouldn’t worry about the behaviour of sharpening filter?
ISOLATED_POINT_IS_ALSO_CALLED_AS_NOISE_POINT.?$
WHERE_DO_YOU_FIND_FREQUENT_USE_OF_GRADIENT??$
First order derivative can enhance the fine detail in the image compared to that of second order derivative.$
What_is_the_thickness_of_the_edges_produced_by_first_order_derivatives_when_compared_to_that_of_second_order_derivatives?$
Which_of_the_following_occurs_in_Unsharp_Masking?$